Subjects -> TRANSPORTATION (Total: 214 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (43 journals)
    - TRANSPORTATION (117 journals)

TRANSPORTATION (117 journals)                     

Showing 1 - 53 of 53 Journals sorted by number of followers
Journal of Navigation     Hybrid Journal   (Followers: 185)
Accident Analysis & Prevention     Hybrid Journal   (Followers: 131)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 38)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 38)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Transportation     Hybrid Journal   (Followers: 32)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 29)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 29)
Journal of Transport and Land Use     Open Access   (Followers: 27)
Transportation Science     Full-text available via subscription   (Followers: 26)
Journal of Transport Geography     Hybrid Journal   (Followers: 22)
European Transport Research Review     Open Access   (Followers: 22)
Nonlinear Dynamics     Hybrid Journal   (Followers: 20)
Public Transport     Hybrid Journal   (Followers: 18)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 18)
Cities in the 21st Century     Open Access   (Followers: 17)
Open Journal of Safety Science and Technology     Open Access   (Followers: 16)
Transportation Journal     Full-text available via subscription   (Followers: 16)
Transport     Open Access   (Followers: 16)
Economics of Transportation     Partially Free   (Followers: 16)
Journal of Transportation Technologies     Open Access   (Followers: 13)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 13)
IET Electrical Systems in Transportation     Open Access   (Followers: 13)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 13)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 12)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 12)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
Journal of Transport History     Hybrid Journal   (Followers: 12)
EURO Journal of Transportation and Logistics     Open Access   (Followers: 12)
Sport, Education and Society     Hybrid Journal   (Followers: 12)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 11)
IET Intelligent Transport Systems     Open Access   (Followers: 11)
Modern Transportation     Open Access   (Followers: 11)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 11)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 11)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 10)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 10)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 9)
International Journal of Transportation Science and Technology     Open Access   (Followers: 9)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 9)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 8)
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 8)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 8)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 8)
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 7)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 7)
Journal of Supply Chain Management Science (JSCMS)     Open Access   (Followers: 7)
European Journal of Transport and Infrastructure Research (EJTIR)     Open Access   (Followers: 7)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
Mobility in History     Full-text available via subscription   (Followers: 7)
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 6)
Transportation Research Procedia     Open Access   (Followers: 6)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 5)
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 5)
Applied Mobilities     Hybrid Journal   (Followers: 5)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 4)
Vehicular Communications     Full-text available via subscription   (Followers: 4)
Logistics & Sustainable Transport     Open Access   (Followers: 4)
Transport Problems     Open Access   (Followers: 4)
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 4)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 4)
Transport and Telecommunication     Open Access   (Followers: 4)
Research in Transportation Business and Management     Partially Free   (Followers: 4)
Transactions on Transport Sciences     Open Access   (Followers: 4)
Journal of Transportation and Logistics     Open Access   (Followers: 3)
TRANSPORTES     Open Access   (Followers: 3)
Journal of Transportation Security     Hybrid Journal   (Followers: 3)
World Electric Vehicle Journal     Open Access   (Followers: 3)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 2)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 2)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 2)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 2)
Streetnotes     Open Access   (Followers: 2)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 2)
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 1)
eTransportation     Open Access   (Followers: 1)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Transportation Safety and Environment     Open Access   (Followers: 1)
Journal of Intelligent and Connected Vehicles     Open Access   (Followers: 1)
Logistics     Open Access   (Followers: 1)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 1)
Asian Transport Studies     Open Access   (Followers: 1)
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
Open Transportation Journal     Open Access   (Followers: 1)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 1)
Emission Control Science and Technology     Hybrid Journal   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Les Dossiers du Grihl     Open Access   (Followers: 1)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Transportation Engineering     Open Access   (Followers: 1)
Journal of Public Transportation     Open Access  
Maritime Transport Research     Open Access  
Communications in Transportation Research     Open Access  
IET Smart Cities     Open Access  
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Transportation in Developing Economies     Hybrid Journal  
Vehicles     Open Access  
Periodica Polytechnica Transportation Engineering     Open Access  
Transportation Systems and Technology     Open Access  
LOGI ? Scientific Journal on Transport and Logistics     Open Access  
Promet : Traffic &Transportation     Open Access  
IFAC-PapersOnLine     Open Access  
Revista Transporte y Territorio     Open Access  
Транспортні системи та технології перевезень     Open Access  
Geosystem Engineering     Hybrid Journal  
Logistique & Management     Hybrid Journal  
IATSS Research     Open Access  
Transport in Porous Media     Hybrid Journal  

           

Similar Journals
Journal Cover
International Journal of Transportation Engineering
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2322-259X - ISSN (Online) 2538-3728
Published by Tarrahan Parseh Transportation Research Institute Homepage  [1 journal]
  • Identification Methods of Accident Hotspots and Providing a Model for
           Evaluating the Number and Severity of Accidents on Roadways

    • Abstract: Whenever an accident index exceeds a certain limit, then the critical conditions is created for a spot or section. Accordingly, that spot and section are identified as a hotspot or black spot. Therefore, determining the criterion for critical limits is always one of the essential challenges for traffic safety authorities. The purpose of identifying accident hotspots is to achieve high-priority locations in order to optimally and effectively allocate the safety budgets as well as to promote more efficient and faster safety at the road network level. Obviously, a suitable criterion for communities depends on different factors and parameters such as annual safety budgets, technology level, the amount of trained personnel, community operating strengths, and safety strategic plans and projects. Thus, it is not possible to prescribe a definite and stable criterion for different communities. In recent years, human, vehicle, road and environment have been recognized as the three main effective elements of the road transportation in the occurrence of accidents. In the present study, with combining the parameters related to accidents (including accident time, accident cause and accident severity), geometric parameters of the accident location (including: road width, shoulder width and radius of horizontal and vertical curves, road surface conditions, vertical slopes), and traffic parameters (including: average daily and hourly traffic volume, heavy traffic percentage and average speed), hotspots were identified by using the superior methods of Poisson regression and negative binomial distribution and based on the combined criteria of number and severity of accidents and equivalent damage factors.
       
  • Sustainability Analysis of Urban Transportation Network Based on the
           Determination of the Relative Importance of Evaluation Criteria

    • Abstract: There is rising agreement that transportation systems are perfectly capable of linking economic development, environmental integrity, and social quality of life. Meanwhile a wide range of research clearly shows that transportation systems are unsustainable in most of the cities and urban areas. In practice, there are numerous transportation systems which are able to pose serious threat to the environmental, social and economic aspects of future generations. Therefore, a truly sustainable urban transportation network is definitely one of the most pressing need of cities and urban centers, particularly in developing countries. Thus identifying the evaluation criteria and determining their importance are critical. While most researches have only focused on economic or environmental aspect of transportation systems, in this paper, by considering economic, social and environmental dimensions, the evaluation criteria for evaluating the sustainability of urban transportation network have been discerned. Furthermore, a framework based on a goal programming model for Best Worst Method (BWM) has been proposed to evaluate and prioritize sustainability dimensions and evaluation criteria. In order to demonstrate the utility of the proposed model, it is employed to a real-world case study of transportation in Yazd, one of the most important cities in Iran and the first Iranian historic city. The results of this study are applied to evaluate, prioritize and select real transportation projects. Moreover, it is demonstrated how the proposed framework could assist urban managers in analyzing sustainability of existing instances, formulating effective strategies, evaluating and selecting coherent policies or even constructing projects to accomplish sustainability goals.
       
  • A New Holistic Crashes Prediction Model based on Zero-Truncated data for
           Intercity Four-Lane Highways Curves

    • Abstract: This study aimed at exploring the effect of consistent design and self-explanatory the horizontal curves on crash frequency in four-lane highways using Zero-Truncated Crashes data. The present study has considered the related variables for 45 curves of four-lane intercity highways in the three-year (2018-2020). The standard Poisson distribution is a benchmark for modeling equi-dispersed count data and could not express under-dispersed Zero-Truncated data. Modeling was performed using Poisson, Negative Binomial, Zero-Truncated Poisson, Zero-Truncated Negative Binomial, and Conway-Maxwell Poisson (COM-Poisson) regression. The results revealed that the COM-Poisson regression distribution could effectively fit the model under-dispersed Zero-Truncated Crashes data. According to the results, the ratio of the curve radius to the average radius of the adjacent curves (as the alignment consistency variable), the difference between the expected and the existing superelevation (as the vehicle stability consistency variable), and the variables of the total self-explaining index and heavy vehicle percentage have significant relationships with crash frequency. As a result, increasing the self-explanatory features of curves is an efficient and prioritized policy for safety improvement on the intercity four-lane highways.
       
  • Predicting a Pavement Roughness on the Basis of PCI Data

    • Abstract: Pavement deterioration is a factor contributing to the higher roughness of the road and lower driving comfort in road trips. The pavement roughness measurement has long been an especially important topic to the practitioners. The pavement condition index (PCI) and the international roughness index (IRI) have been applied as two key measures of the quality and performance of the road pavement at the level of project or the road network. Since the pavement condition assessment across a road network by means of the PCI is highly expensive, the present research aims at estimating the PCI based on the IRI to save time and money while evaluating the pavement condition across a road network. For this purpose, we considered three IRI and PCI measurements over main suburban roads in a cold-weather area during a period of 6 years. Firstly, the independence of errors was controlled using the Durbin – Watson statistic, followed by evaluating the normality of the data using the Kolmogorov – Smirnov and the Shapiro – Wilk tests. In order to measure the correlation of the normal data, we used the Pearson’s tests. Results of regression analysis between IRI and PCI showed that the best equation describing their association is a linear inverse model with an R2 = 0.992. A statistical comparison was made between the observed and predicted PCI values and model developed in the present research was further compared to similar research works, exhibiting acceptable agreement of the results.
       
  • An Improvement on the Topological Map Matching Algorithm at Junctions: A
           Heuristic Approach

    • Abstract: Nowadays, there is a growing demand for transportation and location-based services. The rapid progress in wireless and positioning systems caused an ever-increasing use of these systems in vehicles and transportation. Navigation of vehicles relies on matching received positions by Global Positioning System (GPS) or other sensors with the map of road networks to show the user which part of the road they are on. There is a possibility that the algorithm can't recognize the correct link out of the candidate links due to errors in positioning sensors, digital maps, and map matching algorithms. Location-based services, intelligent transportation systems, and users may be misled by incorrect road detection. By combining a topological map-matching algorithm with the Analytic Hierarchy Process (AHP) optimization method, a compound method has been devised. As the material of the study, we have used Garmin GPS data and a 1:2000 urban map of the national cartographic center. We conducted a case study in a dense part of Tehran City in order to test the efficiency of the algorithm. There are three components to the algorithm, one being an initial map match, two being a mapping on a link, and three being a mapping at a junction through the AHP method. The algorithm has been executed in a dense urban network. Because of the presence of high buildings in urban areas we have the most errors in this area. From 906 positioned points the link has been successfully realized in 97.3% of cases. The results are acceptable, and in 2.7% of the remaining cases, error in the positioning system is responsible for the error and it is recommended to improve positioning system errors.
       
  • Determining the Most Important Factor Affecting Taxi-related Crashes of
           Urban Roads Using the Friedman Test and Factor Analysis

    • Abstract: Modeling the crash severity based on the influential variables makes it feasible to predict the occurrence of crashes that requires safety solutions. In addition, the influence of each factor in the crashes can be examined. This study aimed to identify the factors affecting the severity of the injury/fatal and property damage only (PDO) crashes of taxi vehicles in Rasht city, Iran, by collecting crash data from March 2015 to March 2021. In this regard, the Friedman test was used to determine the priority of factors, and the factor analysis was applied to specify the most effective factors on the severity of taxi-related crashes in Rasht city. According to the Friedman test, weather conditions were the most significant factor affecting the crashes. Based on the factor analysis, five factors were specified as the principal factors contributing to crashes that the environmental factor was the first factor involved in crashes, which includes weather conditions, road surface conditions, and daylight conditions. So weather conditions as the environmental factor was determined the main influential factor on the taxi-related crashes of urban roads.
       
  • High Temperature Behavior of Asphalt Mixture with Bitumen Modified by
           Polyphosphoric Acid Polymers and Rubber Powder

    • Abstract: The main purpose of this study was to determine the effect of adding polyphosphoric acid (PPA) and rubber powder (CR) on the modification of bitumen properties and also to evaluate the asphalt mixture made of modified bitumen. In addition to the usual tests of new bitumen, a variety of standard tests of strength and modulus of elasticity were performed on the asphalt mixture at high temperatures. The results showed that the addition of PPA improved the performance of bitumen at high temperatures and also reduced the effects of aging in the sample and the addition of rubber powder also improved the performance in the entire operating temperature range of bitumen. The combination of these two additives has also succeeded in reducing the bitumen sensitivity to temperature and aging and also increasing the bitumen resistance to common damages at high temperatures. The combination of these two additives was also able to improve the performance grading of bitumen (PG) to 4 categories without having much effect on the performance of bitumen at different temperatures. In order to investigate the microstructural changes in the samples after modification with rubber powder and polyphosphoric acid, the morphology of the samples was performed by scanning electron microscopy and the uniformity and integrity of the modifiers with bitumen was revealed. Marshall resistance in modified and average samples increased by 15% compared to unmodified samples and also the modulus of resistance in modified samples increased by 24% on average compared to control samples.
       
  • Key Levers for Modeling Traffic Violations: Lifestyle, Citizenship
           Belonging, Social Capital, and Individual Attitudes

    • Abstract: Identifying the most important human factors affecting driving violations and the occurrence of high-risk behaviors in driving will help to develop effective and deterrent programs. The aim and contribution of this study was to identify individual, social and environmental factors affecting the incidence of traffic violations by drivers and measure their effectiveness. Through the review of literature, these factors have been identified under variables including cultural capital, demographic variables, individual attitudes (social responsibility and rule of law), lifestyle, environmental factors and citizenship. Studying the effects of variables such as lifestyle, citizenship belonging, social capital distinguishes this paper from others. To measure the effect of variables, a questionnaire was used in which a number of appropriate observed variables were designed for each identified factor. The questionnaires were randomly distributed in the drivers' community of Tehran (248 samples) and after examining the validity and reliability of the research tool, descriptive and inferential statistical analyzes including structural equation analysis (partial least squares method) were used to test the research hypotheses. The results of the analysis show that citizenship, attitude, environmental factors and cultural capital have the greatest impact on the rate of traffic violations. Also, the rate of traffic violations in different groups of drivers with different demographic characteristics is different. Planning to improve the attitude and culture of drivers by emphasizing the citizenship factor is one of the ways to reduce the number of violations. The results of this study can help policymakers to design training and tests for reducing traffic violations.
       
  • Investigation and Identification of Variables of Cost and Time Affecting
           International Freight Transportation in the International North-South
           Transit Corridor (INSTC)

    • Abstract: The International North-South Transit Corridor (INSTC) is of prime importance because the economic desirability of international cargo transportation through this corridor can be theoretically much higher than rival routes. Many studies have focused on estimating the cost of transit via the INSTC. Although most of them have sought to collect field information from the status quo of the transportation of the transited cargo, the findings cannot be broken down to each of the rings of the logistics chain. Determining the share of each part of the chain in the total transit cost can help us identify, compare, and remove extra charges and optimize the cost in the entire chain. This paper aimed to analyze the cost breakdown for transported goods from India (Kandla Port) to Kazakhstan (Aktau Port) as a case study route based on the detailed tariffs and rates associated with each logistics activity in each ring of the chain. The findings revealed the high portion of the cost of the maritime sector (49 percent), followed by the land transportation sector (29 percent). Cutting costs in the mentioned sectors is a priority of trade facilitation strategies compared with other parts such as the port sector (22 percent) and custom sector. The results of this research are applied to depict a holistic and integrated cost breakdown picture in the INSTC. This study demonstrates how the cost breakdown structure can help managers identify the practical solutions to reduce the transit cost and time.
       
  • Railway turnout defect detection using image processing

    • Abstract: Despite other modes of transportation, trains move just along one dimension. However, trains inevitably change their track or move to the opposite track in railway stations and ports using switch systems. Switches are vital for better operation and seamless movement of trains. Furthermore, they are crucial for the safety of movement in tracks due to high derailment potentials at switches; therefore, all parts of switches need to be continuously monitored. An increasing number of accidents in railway systems is highly dependent on switch performance. Therefore, condition evaluation of switches is of significant importance. Research studies have not been sufficiently conducted on automated condition evaluation of switches. This paper aims to develop a robust automated approach to evaluate switch conditions to be able to measure switch defects. Having taken some pictures from various switches with fixed angles and distance from rails, an image processing technique is applied to determine defects. The first step of image processing is to preprocess the images to increase their quality. The second step is to indicate the type and severity of defects using different algorithms. A Graphical User Interface (GUI) is developed to develop a user-friendly tool to be able to load images, preprocess the images, measure defects, and report the health condition of switches. Finally, the outcomes are validated by applying ground truth, which ends up with high accuracy of approximation of 87 percent.
       
  • Study of Urban Taxi-related Accident Analysis Using the Multiple Logistic
           Regression and Artificial Neural Network Models

    • Abstract: In this research, factors affecting the severity of property damage only (PDO) and injury/fatal accidents were examined using taxi-related accident data from March 2015 to March 2021 in urban sites of Rasht city. The multiple logistic regression and artificial neural network (ANN) were applied to recognize the most influential variables on the severity of accidents. Results indicated that the multiple logistic regression in the backward stepwise method had a prediction accuracy of 88.54% and R2 value of 0.871. Moreover, the regression analysis revealed that the wet surface condition, night without sufficient light, rainy weather, Kia Pride taxi and lack of attentions increased the severity of accidents, respectively. The most important result of the logit model was the significant role of environmental factors, including slippery road surface, unfavorable weather as well as poor lighting condition, and also indicated the dominant role of poor quality of vehicles along with human factors in increasing the severity of accidents. Comparing the correct percentage of prediction in the multiple logistic regression and ANN model, the results showed that ANN model performed better so that the prediction accuracy of ANN was 95.8%.
       
  • An expert system for evaluation driver behavior based on fuzzy fusion of
           smartphone sensors

    • Abstract: Monitoring and evaluating driving behavior indirectly reduces accidents and fuel consumption. But this evaluation is not available due to the need for expensive equipment. In this study, an expert system is presented which allows fuzzy evaluation of drivers` behaviors by using smartphone sensors. The proposed model, first identifies different types of maneuvers such as changing lane, road ramps, turning left or right based on cell phone sensors fusion. Then, the expert system uses fuzzy C-mean clustering technique to determine the overall behavior of the drivers into two categories, aggressive and safe, based on the type of maneuver and the lateral acceleration during the maneuver. Results show fusion of smartphone inertial measurement sensor (IMU) sensors based on the adaptive neuro fuzzy inference system (ANFIS) detect correctly the type of maneuvers near 96%. Also, in order to validate the results of assessing driver behavior, the well-known Driver Anger Scale questionnaire is used. The output obtained from the proposed model confirms the results of the questionnaire.
       
  • Assessing Risk Factors Associated With Motorcycle Crash Severity in
           Mashhad, Iran

    • Abstract: Accurate assessment of motorcycle safety requires examining the complex relationships between vehicles, roads, and human factors involved in a crash. This study deals with the case study of Mashhad as one of the metropolises of the country. It investigates the role of different characteristics in the severity of motorcycle crashes by examining 9663 cases of motorcycle crashes in the three-year period from 2014 to 2016. For this purpose, the study uses the descriptive analysis of the data and a logistic regression model. The variables studied in this paper are divided into three categories: crash variables, environmental variables, and motorcyclist variables. Investigation of crash variables shows that the probability of fatal crashes increases from 22 to 10 in the morning. Further, the probability of a motorcyclist's death in crashes with heavy vehicles and crashes without another involved party is 3.27 and 4.41 times higher than that of a motorcyclist in a crash with light vehicles. Environmental variables indicate that the probability of more severe motorcycle crashes increases in roundabouts, roads with recreational use, and expressways. Further, the severity of crashes increases on highways and roads with shoulders, divided medians, higher speed limits, and roads without adequate lighting. In addition, the variables related to motorcyclists show that the probability of more severe crashes rises with the increasing age of motorcyclists. Finally, this study analyzes the role of various factors, examines the problems in crash information, and offers solutions related to improving the safety of motorcyclists.
       
  • A new Ontology-based Multi-Agent System model For Air Traffic Management

    • Abstract: problems such as flights sequences, flights emergency positions, hijacking, airport controlled space management, and Free Flight are problems that the Air Traffic Management (ATM) are faced with it. Managing a large volume of flights data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight interactions. the agent-based systems and ontology are tools that together have attributes such as autonomy, learning, and cooperation to solve ATM's problems. This research proposed a new ontology-based multi-agent system for air traffic management. the design of air agents has been done on the architectural basis of BDI. This model contains five main modules that were designed under Multi-agent Software Engineering (MaSE) methodology in AgentTool tools. Methontology methodology was exploited for the engineering of the ontology of agents and the implementation process was carried out using the Protégé software. the hybrid model ATM ontology-based multi-agent system(ATM-onto-mas) has been implemented with Java Agent Development Framework( JADE). the actual flight data of Mashhad Airport, Iran used To evaluate and test this model. terminal control area(TMA) of Mashhad Airport was designed and simulated in an ATCsim simulator based on real data. The obtained results of the ATM-onto-mas system in a simulated environment indicate improvement in the evaluated parameters Compared with other methods.
       
  • Assessing the impact of Internet of Things (IoT) on urban multi-modal
           mobility for optimal routing: A meta-review

    • Abstract: Intelligent transportation system is an effort to reduce traffic, travel time, thereby reducing environmental pollution. One of the solutions to reduce transportation pollution is to make the transportation system smart for users to find the optimal route, because multi-modal transportation plays an important role in passenger movement. It also manages transportation and reduces travel demand. Intelligent transportation systems have made it possible for different sectors to interact with each other. This paper aims to identify contributions of IoT factors in multi-modal mobility to find the optimal path using an umbrella review method. To achieve this, a set of studies focusing on the Internet of Things in multi-modal mobility in different fields were investigated. The sample includes 14 qualitative and 14 quantitative papers. For qualitative papers, conceptual codes were extracted. Then the significance coefficient of each variable was measured using Shannon entropy coefficient. For quantitative papers, after extracting codes and conducting inferential analysis of data using funnel plot, Egger's linear regression, publication bias and heterogeneity Q test, the effect of each of the independent variables along with the dependent variable was measured. Findings reveal that in qualitative papers, "geographical information and timetable for mobility modes" are ranked first and "the amount of electronic facilities and equipment" and "reducing route length and distance" are ranked second. In quantitative papers, the "time to reach destination", "time and volume of traffic", "number of public and private transportation stations", and "reduction in route length and distance" appeared to have a great effect on mobility.
       
  • Illuminating Perceptions Affecting Mode Choice: A Combination of
           Qualitative Perspective and ICLV Modeling

    • Abstract: Understanding travel behavior is one of the most critical challenges in transportation planning. Planners can gain profound insights into travel behavior by exploring people’s perceptions and attitudes. Qualitative research as an independent approach or in a combination of a quantitative research can provide a deep understanding of people’s perceptions in transportation. This study used both qualitative and quantitative techniques to inspect citizens’ perceptions towards travel behavior. In addition, the respondents identified comfort, time, safety, and environmental concerns as the critical determinants in travel mode choice. The characteristics of individuals and transportation alternatives as well as environmental concerns were considered to affect mode choice in the quantitative study. The interview results of the qualitative approach indicated that environmental concerns were mainly rooted in spiritual ethics. The results, extracted from an Integrated Choice and Latent Variable (ICLV) model, showed that environmental concerns influenced people to choose public transportation. Furthermore, the findings indicated that young and middle-aged people preferred to use public transportation. Still, the preference was about quadruple for the middle-aged group.
       
  • New optimization approach for Handling Imbalanced Data in Road Crash
           Severity

    • Abstract: Accidents are a major problem that claim the lives of many people in the world each year. Fatalities and severe injuries could leave adverse and irreversible impacts on public health and economic prospects. A review of the variables affecting the severity of crash injuries can help reduce fatal accidents. However, a detailed prediction of fatal crashes as a smaller-data class than other classes is seen as a challenge. This study uses three robust machine learning such as Bayesian classifier, random forest, and support vector machine techniques. First, three imbalanced data prediction models were developed, suggesting they could not differentiate fatal data from injury data. To address this problem, three random, k-means clustering, meta-heuristic algorithms clustering techniques were used to balance the data. It should be noted that the genetic algorithm performed better than the particles swarm. Models developed by intelligent optimization methods, k-means clustering, and random methods were found to be more accurate, respectively. These criteria helped evaluate the models developed, which yielded the best model. The support vector machine method for genetic clustering-balanced data could predict fatal, and injury crashes with a 0.96% accuracy, becoming the best model. Finally, sensitivity analysis was performed on the best model, indicating that the highway, horizontal curves, and head-on variables contributed to fatal accidents.
       
  • Investigating the Impact of Accessibility on Land Use and Its Role in
           Environmental Pollution in Tehran

    • Abstract: Transportation and land use are the two major sectors that contribute the most to the spread of environmental pollution. Transportation through accessbility affects land use while land use through the production and attraction of trip affects transportation. The purpose of this study is to investigate the accessibility of 22 districts of Tehran metropolis, how the city develops and their impact on increasing air pollution. This is an applied research where the data and information used in this research were obtained from Tehran Municipality and Statistics Center of Iran and for their classification and analysis, depending on the need, SPSS, Arc GIS and Google Earth software have been used. The results of Pearson correlation show that about 24% of land uses in Tehran have a significant relationship, which indicates a high separation between types of land uses and ultimately the scattered growth of Tehran. By analyzing and calculating the accessbilities, it was found that 38% of the internal communications between the districts are at the level of good and very good accessbility, 32% have the average level of accessbility and 30% are at the level of poor and very poor. The average route factor of Tehran is estimated to be 1.52, which indicates that Tehran is classfied in the average level of accessbility. Another finding of this study is the effect of land uses and accessbility levels on increasing air pollution in Tehran which is important to urban planners and policy makers.
       
  • Analyzing the Effects of Critical Risk Occurrence Probability on Time and
           Cost of Road Construction Projects Using a Schedule Plan

    • Abstract: Many projects fail to achieve their expected benefit, cost, scope, and time objectives because their related risks and uncertainties reduce the accuracy in properly estimating the objectives and, thus, reduce the project efficiency. Since risks are accompanied with uncertainties and lack of reliability, many of them are irremovable in construction projects and their proper management is the only way to prevent damage. Hence, before a project starts, it is quite necessary that its risks should be identified, quantified, and evaluated to prevent them to occur using proper strategies and prioritization methods. As road construction projects involve numerous activities, and unexpected factors affect their final time and cost, the present study has identified their related risks by reviewing the literature and asking the experts’ opinions, prioritized them by the traditional Failure Mode and Effect Analysis (FMEA), selected the critical ones, and used the Monte Carlo simulation technique to quantitatively analyze their effects on the project time/cost scheduling. Also, sensitivity analysis was done by varying the percent occurrence probability of risks to evaluate determine the relationship between the percentage of probability of occurrence of risks and time and cost of road projects. Finally, responses to identified risk provided in order to reduce their effects on the time and cost of road construction projects.
       
  • A Novel Evaluation and Decision-Making Approach to Prioritizing the
           Service Quality Criteria in Road Transportation Systems

    • Abstract: The passengers’ expectations of road transportation systems' service quality lead transportation policy-makers to determine the technical requirements to meet these expectations. It means that Road trip Designs (RDs) as technical requirements should be translated based on Road users’ Requirements (RRs) as passengers’ expectations. We classified the RRs and RDs to 8 and 10 requirements, respectively. The Quality Function Deployment (QFD) method can translate the RRs to RDs in road transportation systems. On the one hand, due to the inherent uncertainty in decision-makers viewpoints in such systems, the Fuzzy QFD (FQFD) can be applied as a more accurate translation of RRs to RDs. On the other hand, the Evidential Reasoning (ER) approach, as one of the best evidence-based decision analysis methods, deals with the raised ambiguity and chaos by decision makers’ viewpoints. Accordingly, a novel hybrid FQFD-ER approach to prioritize the service quality criteria in road transportation systems has been provided in this paper. Moreover, a novel mathematical lemma is provided to hybridize and link the decision-making approaches of the FQFD and ER. Considering the weights of decision makers and fuzzy trapezoidal numbers to achieve the better results are other innovations of this paper. Totally, this study aims to integrate the FQFD with the ER approach to prioritize the RDs based on RRs in related road transportation systems to the Arba'een ceremony as a real case study. The obtained results by hybrid FQFD-ER revealed that the suitable road lanes in terms of width and number mostly improve the service quality.
       
  • Predicting Dynamic Origin-Destination matrix by time series pattern
           recognition

    • Abstract: Dynamic Origin Destination (OD) matrix estimation is a classic problem that has long been a subject of scholarly investigation. OD estimation is an essential prerequisite for transportation planning and traffic management. Despite the plethora of research on this subject, most models available in the literature fail to present the elegant characteristics of OD time series data. The patterns in OD time series break down into regular and particular patterns. However, most studies in literature focused on the regular type. Broadly the regular patterns are used to represent the general distribution patterns in time-dependent OD demands. Although, uncontrollable variables such as weather conditions, events, time, and crashes affect the OD patterns considerably. So, considering the impact of these uncontrolled variables, we developed a time series prediction algorithm model that can show both regular and particular patterns. The proposed model classifies historical data and estimates the class of coming demand. The clustering and association rule techniques are used in the proposed model to predict the coming OD. The bike riding data in Chicago was used to test the algorithm and the results suggest that the model can predict the class of OD with above 80% accuracy with a reasonable number of classes.
       
  • Attitude to Speeding in Iran: Identifying Drivers Characteristics

    • Abstract: Exceeding the posted speed limit is a contributing factor in rural crashes, and speed violations have a significant effect on road safety. The current study aims to identify at-fault driver features in speeding violations occurring at all rural roads of Iran using 11,636 drivers involved in two-vehicle speeding crashes. For this purpose, the quasi-induced exposure concept, Classification and regression tree, and logistic regression methods were employed. Drivers' gender had a significant effect on being at-fault, and women's risk was approximately two times higher than men. The risk of drivers in the ">58" age group was the highest and nearly twice the "18-27" group. In the vehicle type, the pickup had a risk of nearly 26 times higher than the bus. The finding showed that females have more risky behavior than male counterparts in speeding. Totally, the at-fault risk will grow more with increasing drivers' age. Type 1 driving license in speeding crashes has a significant effect on the risk of drivers' being at-fault. Moreover, among statistically significant vehicle types, the pickup had the highest risk. The results emphasize more attention to female and old drivers, their license type, pickup vehicles, and prepare practical countermeasures to reduce these crashes.
       
  • The effect of parenting styles on children’s risk perception on
           roads

    • Abstract: Although there is evidence of a significant impact of the family on children's safety and risky behaviors, few studies have examined this issue in detail. Children under the age of 10, although they rarely participate in traffic completely independently, are a vulnerable population from a traffic safety perspective. In addition to the number of children who die in incidents, some of them suffer from lifelong disabilities. Besides various educational methods and making safe school zones, there is a need to pay attention to the impact of parents on children's understanding of traffic safety. In this study, the effect of parent on children's perception of safety and danger on roads is investigated. For this purpose, through an interview, children aged 6-9 years were asked to identify 11 unsafe traffic behaviors. Parenting styles and demographic information were collected from their parents through a questionnaire. The results showed that children's risk perception is related to age, gender, and socio-economic status. In addition, children's ability to perceive risk is associated with negative parenting styles (corporal punishment and poor monitoring). The results of this study highlight the effects of parents' education on children's awareness of road safety. The importance of parenting styles and other factors affecting children's understanding of traffic risks should be informed to families. It is also important to establish the necessary infrastructure to increase children's safety by promoting parenting skills through beneficial policies and holding training workshops for parents.
       
  • An Overview of Challenges and Plans to Improve Urban Mobility: A Case of
           Approach and Strategies in Tehran

    • Abstract: The world's population is trending up, while a striking proportion of it resides in urban areas. Today, with the development of urbanization and the deficiency of sustainable transport infrastructure in most developing cities, urban mobility has become one of the staple challenges in such metropolitan areas. In this paper, research on urban mobility issues, its challenges and, policy approaches are succinctly reviewed. Furthermore, a review of the Sustainable Urban Mobility Plan (SUMP) and the approaches of distinct countries in this vein along with their lessons from these experiences are outlined. Finally, a new approach to improving Tehran's urban mobility has been proposed, and assorted alternatives have been compared and appraised. In this vein, transportation macroscopic model was applied to measure and compare proposed alternatives. Research findings depict that car-based cities confront intricate urban mobility issues and the approach of most cities has been to develop sustainable urban mobility based on improving the quality of their residents' life. Apart from that, for the city of Tehran, applying a combination of alternatives has been more effective in boosting sustainable urban mobility of this metropolis. Put differently, by examining distinct strategies, a mixed alternative involving the development of soft modes along with congestion pricing for private cars entering CBD has been proposed. It is projected that founded on the proposed policy approach alongside the implementation of a superior alternative, the proportion of the congested network in the central area will be diminished by 1.9 percent.
       
 
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