Subjects -> TRANSPORTATION (Total: 214 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (39 journals)
    - TRANSPORTATION (121 journals)

TRANSPORTATION (121 journals)                     

Showing 1 - 53 of 53 Journals sorted alphabetically
Accident Analysis & Prevention     Hybrid Journal   (Followers: 121)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Applied Mobilities     Hybrid Journal   (Followers: 3)
Archives of Transport     Open Access   (Followers: 18)
Asian Transport Studies     Open Access   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 16)
Cities in the 21st Century     Open Access   (Followers: 16)
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 3)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 2)
Economics of Transportation     Partially Free   (Followers: 14)
Emission Control Science and Technology     Hybrid Journal   (Followers: 2)
eTransportation     Open Access   (Followers: 2)
EURO Journal of Transportation and Logistics     Hybrid Journal   (Followers: 15)
European Transport Research Review     Open Access   (Followers: 24)
Geosystem Engineering     Hybrid Journal   (Followers: 2)
IATSS Research     Open Access  
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 8)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
IET Electrical Systems in Transportation     Open Access   (Followers: 11)
IET Intelligent Transport Systems     Open Access   (Followers: 12)
IET Smart Cities     Open Access  
IFAC-PapersOnLine     Open Access   (Followers: 1)
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 11)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 12)
International Journal of e-Navigation and Maritime Economy     Open Access   (Followers: 6)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 11)
International Journal of Electronic Transport     Hybrid Journal   (Followers: 9)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 16)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 9)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 3)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 19)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 19)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
International Journal of Transportation Science and Technology     Open Access   (Followers: 12)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 3)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 16)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 9)
Journal of Navigation     Hybrid Journal   (Followers: 277)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 12)
Journal of Sustainable Mobility     Full-text available via subscription   (Followers: 3)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 5)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
Journal of Transport and Land Use     Open Access   (Followers: 26)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 16)
Journal of Transport Geography     Hybrid Journal   (Followers: 28)
Journal of Transport History     Hybrid Journal   (Followers: 13)
Journal of Transportation and Logistics     Open Access   (Followers: 5)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 10)
Journal of Transportation Security     Hybrid Journal   (Followers: 2)
Journal of Transportation Systems Engineering and Information Technology     Full-text available via subscription   (Followers: 12)
Journal of Transportation Technologies     Open Access   (Followers: 15)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 8)
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Les Dossiers du Grihl     Open Access   (Followers: 1)
LOGI ? Scientific Journal on Transport and Logistics     Open Access   (Followers: 1)
Logistics     Open Access   (Followers: 3)
Logistics & Sustainable Transport     Open Access   (Followers: 6)
Logistique & Management     Hybrid Journal  
Mobility in History     Full-text available via subscription   (Followers: 5)
Modern Transportation     Open Access   (Followers: 12)
Nonlinear Dynamics     Hybrid Journal   (Followers: 20)
Open Journal of Safety Science and Technology     Open Access   (Followers: 17)
Open Transportation Journal     Open Access   (Followers: 1)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 4)
Periodica Polytechnica Transportation Engineering     Open Access  
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 15)
Promet : Traffic &Transportation     Open Access  
Public Transport     Hybrid Journal   (Followers: 20)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Research in Transportation Business and Management     Partially Free   (Followers: 8)
Revista Transporte y Territorio     Open Access   (Followers: 1)
Revue Marocaine de Management, Logistique et Transport     Open Access  
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
SourceOCDE Transports     Full-text available via subscription   (Followers: 2)
Sport, Education and Society     Hybrid Journal   (Followers: 13)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 3)
Streetnotes     Open Access   (Followers: 1)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 1)
Tire Science and Technology     Full-text available via subscription   (Followers: 3)
Transactions on Transport Sciences     Open Access   (Followers: 7)
Transport     Open Access   (Followers: 17)
Transport and Telecommunication     Open Access   (Followers: 5)
Transport in Porous Media     Hybrid Journal   (Followers: 2)
Transport Problems     Open Access   (Followers: 5)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 10)
Transport technic and technology     Open Access   (Followers: 1)
Transportation     Hybrid Journal   (Followers: 34)
Transportation Engineering     Open Access  
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Transportation in Developing Economies     Hybrid Journal  
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
Transportation Journal     Full-text available via subscription   (Followers: 17)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 6)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 3)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 41)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 39)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 31)
Transportation Research Procedia     Open Access   (Followers: 7)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 36)
Transportation Safety and Environment     Open Access   (Followers: 2)
Transportation Science     Full-text available via subscription   (Followers: 26)
Transportation Systems and Technology     Open Access  
TRANSPORTES     Open Access   (Followers: 6)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 9)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Transportrecht     Hybrid Journal   (Followers: 1)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 12)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 4)
Urban Development Issues     Open Access   (Followers: 3)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Vehicles     Open Access  
Vehicular Communications     Full-text available via subscription   (Followers: 4)
World Electric Vehicle Journal     Open Access  
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 6)
Транспортні системи та технології перевезень     Open Access  

           

Similar Journals
Journal Cover
International Journal of Intelligent Transportation Systems Research
Journal Prestige (SJR): 0.301
Citation Impact (citeScore): 1
Number of Followers: 16  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1868-8659 - ISSN (Online) 1868-8659
Published by Springer-Verlag Homepage  [2652 journals]
  • Blind Spot Detection System in Vehicles Using Fusion of Radar Detections
           and Camera Verification
    • Abstract: Abstract Sensors are the quintessential part of Blind Spot Detection (BSD) systems, which have a profound effect on the performance of the system. Every sensor has its unique deficiencies that can deteriorate the performance of the system under grievous circumstances. Hence, making vital tasks in BSD such as object detection arduous. Indeed, previous studies have demonstrated that data fusion techniques can diminish the adverse effects of sensors and improve detection accuracy in the BSD system. One of the main advantages of data fusion is to improve detection accuracy and reduce the processing time by multiple sensors cooperation. We propose a BSD model that objects are detected in consecutive time intervals in the BSD system. Then, association techniques are employed for multi-sensor fusion since all sensors data are not ordinarily ready for fusion simultaneously. It should be noted that the orthodox approach in data association techniques in BSD often includes a global nearest neighbor, joint probabilistic data association, and multiple hypothesis tests. We simulate and compare these techniques by tracking multiple targets and multi-sensor fusion using virtual data in MATLAB. Furthermore, we illustrate that our multi-sensor fusion detection accuracy in the BSD system is augmented compared to a single sensor BSD system.
      PubDate: 2021-03-11
       
  • Fitting Knock-on Delay Duration Distributions using High-Speed Train
           Operation Records
    • Abstract: Abstract Delay distribution models are helpful in real-time train dispatching. These models can aid dispatchers to estimate the probability of delay duration and better manage train delays in practice. In this paper, based on the actual train operation records at Xiamen-Shenzhen high-speed railway (HSR) from April 2015 to October 2016, the number of knock-on delay (KD) trains and the number of arrival trains were counted. The statistical result demonstrated the train frequency affected the KD train frequency to some extent. The statistical method was used to establish the knock-on delay duration distribution (KDDD) model. The five common distribution models fitted KDDDs at peak hours and off-peak hours at four stations. The maximum likelihood estimate obtained the parameters of the five theoretical distributions. The log-normal distribution fitted the KDDDs best at both periods and four stations according to the Kolmogorov–Smirnov (K-S) test result. The probability of knock-on delay duration was calculated, and the result indicated the probability of knock-on delay duration in (1,5) min were the maximum, and those at peak hours were more than those at off-peak hours at Huizhou South and Houmen.
      PubDate: 2021-03-01
       
  • Influence of Weather Features in Determining Sudden Braking
    • Abstract: Abstract Understanding conditions and situations causing abnormal driving behaviors like sudden braking or sudden acceleration is important for preventing traffic accidents. Previous studies have used probe vehicle data to detect risky situations where sudden braking frequently occurred. However, they have mainly focused on location and vehicle-related factors. In this paper, we build models which discriminate sudden braking using a machine learning method. The models use weather-related information as well as probe data. To investigate how weather-related factors help to determine sudden braking, we conducted extensive experiments using probe data obtained from dashboard cameras and two types of weather-related information obtained from meteorological observatories (MO) and AMeDAS. Experimental results illustrate that using weather-related information improves performance in determining sudden braking and that the temporally and spatially denser characteristics of weather-related factors from AMeDAS help to compensate for insufficiencies in the model with MO data.
      PubDate: 2021-02-26
       
  • Segment-Based Count Regression Geospatial Modeling of the Effect of
           Roadside Land Uses on Pedestrian Crash Frequency in Rural Roads
    • Abstract: Abstract Pedestrians are one of the most vulnerable road users that are prone to injury and death. Various factors have been incorporated into transportation systems in order to improve pedestrian safety in recent studies. The main objective of this study is to develop a segment-based micro-level geospatial-based approach to find the interaction between the frequency of pedestrian crashes and roadside land uses in rural roads. The proposed approach uses geospatial functions for extracting contributing factors and two different lengths of road segments as analysis units to reduce the randomness of the crash locations. These spatial factors are used to estimate the number of pedestrian crashes in each segment using four count-based regression models, including Poisson, negative binomial (NB) regression models, and their zero-inflated extensions. The latest four-year reporting crashes and land use data for a four-lane divided rural multilane in Guilan province, Iran, were tested to illustrate the models' accuracy and performance in the proposed approach. Modeling results highlighted the superiority of the Poisson regression model and its zero-inflated extension for two different strategies of segment length. Moreover, the results showed that residential, commercial, governmental, institutional, utility, and religious land uses have various decisive impacts on the increase of pedestrian crash frequency. This information could be used in long-term transportation systems planning, which would lead to an improvement in pedestrian safety levels.
      PubDate: 2021-02-20
       
  • Influence of Moving Light Guide System on Traffic Flow in Presence of
           Autonomous Vehicles
    • Abstract: Abstract As a measure against traffic congestion in uphill and sagging sections of roads, a moving light guide system using LED light emitters installed near the road shoulder has been introduced. In addition, despite the increasing development of autonomous vehicles, no studies have been conducted on the effects of this system under a mixture of both manually driven and autonomous vehicles. The purpose of this study was to conduct a driving simulator experiment to understand the influence of the moving light guide system on the traffic flow when the autonomous driving vehicles are mixed with manual vehicles. Our observations suggest that the moving light guide system may be effective for manual vehicles, even in the presence of autonomous vehicles.
      PubDate: 2021-02-19
       
  • Evaluation of the Driver Visibility Affecting the Occurrence of Crossing
           Accidents
    • Abstract: Abstract This research aims to clarify the influence of driver visibility on crossing accidents. We investigated 1101 accidents occurring at 621 intersections in the Hakata-ku Ward, Fukuoka City, from 2015 to 2017. We calculated the yearly accident rate at each intersection based on the accident data and evaluated driver visibility with surveyed intersection information. It was found that the accident rate was high when visibility was poor regardless of the number of lanes on the secondary road at locations where many accidents occurred, and the accident rate was high when the number of lanes on the secondary road was low throughout Hakata Ward.
      PubDate: 2021-02-17
       
  • An Improved Method of Nonmotorized Traffic Tracking and Classification to
           Acquire Traffic Parameters at Intersections
    • Abstract: Abstract High computational cost and low tracking stability make it still a challenging task to acquire nonmotorized traffic parameters at intersections via vision-based method. In order to address the above issues, our study improves a cooperative tracking and classification method, and proposes a vision-based data collection system to monitor nonmotorized traffic at intersections. The system utilizes the combination of two tracking algorithms, Kernelized Correlation Filter and Kalman filter, to ensure the continuous tracking. Based on multivariate feature, K-means clustering and Support Vector Machine are implemented to classify nonmotorized traffic according to the motion and appearance feature respectively. As a result, the proposed system can acquire trajectories of pedestrians and cyclists and extract traffic parameters, including flow and velocity. Our method performs well in both efficiency and accuracy by fusing simple but effective algorithms and is robust in the complex scenario especially at large-scale intersections with limited training samples. The experimental results show that it can extract more trajectories with low computational lost. Moreover, the error of flow and velocity result is controlled within acceptable limits, which directly proves it feasible to collect field data in project applications.
      PubDate: 2021-02-13
       
  • High-Resolution Image Data Collection Scheme for Road Sensing Using
           Wide-Angle Cameras on General-Use Vehicle Criteria to Include/Exclude
           Collected Images for Super Resolution
    • Abstract: Abstract Fisheye cameras or wide-angle cameras used on automobiles will have various future applications as “distributed sensors in daily transport” -- objects on roadside are frequently observed multiple times by multiple vehicles. Although the object regions are often captured with relatively low image quality (low resolution and large blur) resulting from the character of the lens, it is possible to enhance their quality by post-processing using super resolution (SR) technology. Here, it is required to decide which images to use as inputs for SR: a greater number of lower-quality images or fewer higher-quality images. We evaluated and discussed the input image quality necessary to obtain most effective SR results, especially focusing on degree of image blur. As a conclusion, we found a criterion that was related to the blur level of the initial input image of SR. Then, we considered its potential use as a requisite in observing road environments.
      PubDate: 2021-01-07
      DOI: 10.1007/s13177-020-00243-0
       
  • A Collaborative 1-to-n On-Demand Ride Sharing Scheme Using Locations of
           Interest for Recommending Shortest Routes and Pick-up Points
    • Abstract: Abstract Ride-sharing offers a cheaper means of transportation to riders whose routes are similar to the driver’s route within an acceptable time. It is a new paradigm in the urban road transportation system to reduce traffic and enhances the economy of car owners. Unlike 1-to-n ride-sharing that allows n-rider to share rides with a driver, 1-to-1 ride-sharing does not maximize the advantages of ride-sharing. However, the major challenge of 1-to-n ride-sharing is how to match a minimum number of riders with a driver without compromising their privacy, and solves how to synchronize car owners’ destinations with their riders’ destinations without incurring a delay. Meanwhile, most of the existing ride-sharing schemes are developed for 1-to-1 ride-sharing services, where a rider shares a ride with a driver. In this paper, an effective collaborative ride-sharing scheme is proposed for 1-to-n ride sharing. Our scheme is capable of recommending optimal routes and pick-up points for riders and drivers using their previously visited location’s record. It is also capable of providing a single but centralized ride-sharing public management system for every car owner. Thus, eliminates the inefficient disjointed private carpooling form of 1-to-1 ride sharing. It consists of a trust model that is used for computing trust value for riders and drivers, and a similarity model to compute the similarity between locations and riders or drivers. More so, it allows more than a driver to provide collaborative ride-sharing for a rider in case the rider’s destination is farther than the driver’s destination. The scheme is analyzed, the experimental and analysis results show that our scheme is not only secure but also with low computational latency.
      PubDate: 2021-01-06
      DOI: 10.1007/s13177-020-00234-1
       
  • An Analysis of the Impact of Attentional Momentum Effect on Driver’s
           Ability of Awareness During Night-time Driving
    • Abstract: Abstract This study aims to demonstrate that driver’s awareness during driving at night can be improved by attentional momentum effect. Driver’s ability to be aware of pedestrians is often degraded due to the inhibition of return (hereafter, “IOR”). The IOR is the tendency that exogenous attention is suppressed toward the direction to which the driver previously referred. Previous studies have suggested that attentional momentum effect (hereafter, “AME”) can relieve the effect of IOR. For example, IOR phenomenon appears when driver’s exogenous attention is localized on roadside stores with high-illumination intensity. Focusing on the night-time driving, this study investigates the impact through a detection task based on dual-task setting. As a result, it was observed that the target detection was delayed under IOR condition, and the delay in target detection was improved under AME condition. This result supports that attentional momentum effect led to improve the driver’s ability to be aware of objects during night time driving.
      PubDate: 2020-11-28
      DOI: 10.1007/s13177-020-00241-2
       
  • The Relationship between Driving Behavior and the Health Condition of
           Elderly Drivers
    • Abstract: Abstract This study analyzed the impact of the health condition of elderly drivers on their driving behavior. We obtained drive recorder data and health check data including cognitive function and magnetic resonance imaging data from drivers older than 70 years of age and living in the Chugei area in Kochi Prefecture, Japan, and performed discriminant analysis. The results showed that safe driving skills are more affected by occipital lobe volume than the conventional cognitive tests such as MMSE and FAB.
      PubDate: 2020-11-21
      DOI: 10.1007/s13177-020-00240-3
       
  • Packet Delivery Ratio Prediction for V2V Based on Radio Environment Map
           Considering Hidden Terminal Problem
    • Abstract: Abstract Recently, vehicle-to-vehicle communication has been envisaged to be one of the technologies for realizing highly safe connected and automated driving. One of the approaches for predicting the radio environment is the use of a measurement-based spectrum database, which stores various pieces of information on the radio environment of data received and collected by vehicles; however, prediction of an accurate packet delivery ratio (PDR) with consideration of packet collisions is difficult if the vehicle density changes after the generation of PDR maps. This paper proposes a method for predicting the PDR with consideration of packet collisions, including the influence of hidden nodes, by using the positions and number of vehicles.
      PubDate: 2020-11-18
      DOI: 10.1007/s13177-020-00239-w
       
  • Bayesian Network-Based Framework for Cost-Implication Assessment of Road
           Traffic Collisions
    • Abstract: Abstract Investigating the cost-implications of road traffic collision factors is an important endeavour that has a direct impact on the economy, transport policies, cities and nations around the world. A Bayesian network framework model was developed using real-life road traffic collision data and expert knowledge to assess the cost of road traffic collisions. Findings of this study suggest that the framework is a promising approach for assessing the cost-implications associated with road traffic collisions. Moreover, adopting this framework with other computational intelligence approaches would have a positive impact towards achieving the Sustainable Development Goals in terms of road safety.
      PubDate: 2020-11-14
      DOI: 10.1007/s13177-020-00242-1
       
  • Evaluation of Driver Assistance System Presenting Information of Other
           Vehicles through Peripheral Vision at Unsignalized Intersections
    • Abstract: Abstract It is an essential issue to avoid traffic accidents at unsignalized intersections. A driver assistance system was proposed to assist drivers by presenting the approach information of other vehicles through peripheral vision with color information. Actual vehicle experiments with ten participants were performed to validate the effectiveness of the system with the analysis of driver behaviors and subjective evaluations. The results indicated that the system that expressed the approach situation of other vehicles using color information improved the ease of understanding the approach situation. Meanwhile, the total observing time of the display and the number of times of viewing the display were successfully reduced, and the risk of collision with other vehicles was low when the information was provided through the peripheral vision.
      PubDate: 2020-11-09
      DOI: 10.1007/s13177-020-00236-z
       
  • Analysis of Crossing Collision Accident Characteristics by Accident Party
    • Abstract: Abstract This paper shows the characteristics of crossing collision accident by accident party. As Fukuoka Prefecture has the third most accidents in Japan, we selected Hakata and Chuo Ward in Fukuoka city as the target of the investigation. We investigated 1810 crossing collision accidents and 2662 intersections’ environmental factors such as traffic lights and intersection shape. In addition, we classified the accidents into car to car accidents and car to bicycle accidents according to the type of accident parties involved. Characteristics of car to car accidents tending to occur at crossroads and car to bicycle accidents occurring regardless of the traffic regulations have been clarified.
      PubDate: 2020-11-09
      DOI: 10.1007/s13177-020-00235-0
       
  • Motorized Level of Service Classification for Urban Uncontrolled
           Intersections
    • Abstract: Abstract Service and total delay are considered for classifying MLOS and intersections, respectively. GPS is used to collect travel time and speed data for turning movements that are transformed into average delay values. Thirteen junctions from eight different cities in India form the dataset. Divisive followed by agglomerative clustering (DAC-HAC) algorithm is applied as a two-step process for obtaining the service and total delay ranges. Validation of clusters is performed based on the Davies-Bouldin score, Calinski-Harabasz index, and Silhouette gaps. Based on DAC-HAC, uncontrolled intersections are classified into six categories (Cat-I, II, III, IV, V, and VI). Results indicate MLOS classes “D”, “E” and “F” have significantly higher service delay ranges as compared to Highway capacity manual “control” delay ranges indicating mixed traffic conditions. Most of the uncontrolled intersections under mixed traffic fall under Cat-IV, V, and VI, having higher total delay ranges (> 60 s/ vehicle/ approach). Finally, validation of the clustering results is done for geometric and roadside environmental features.
      PubDate: 2020-11-05
      DOI: 10.1007/s13177-020-00238-x
       
  • Capacity of Median U-Turns Using Traffic Simulation
    • Abstract: Abstract Median U-turn has been widely used at Iraqi highways and regards as one of sources of traffic congestion creation due to the fact the U-turn movements conflict with traffic at the origin and destination directions. To enhance traffic safety at U-turn sites, speed humps were installed to force speed reduction to the incoming traffic that conflicting with the turning traffic. This paper used real data taken from four median U-turn sites. Three of these sites has speed humps while the fourth is not. VISSIM traffic simulator has been used to build simulations models that could replicate the real site movements. The observations of traffic data for these sites have been conducted using video recordings to obtain traffic parameters contains traffic volumes and the time spent for tuning process. The simulation results based on traffic volumes and average time spent (ATS) for turning has been compared with the real data based on calibration and validation processes and good agreements have been obtained. The developed simulation models were used to examine different scenarios affecting the capacity of the U-turn traffic. The results suggested that the capacity is increased with the decreasing of speeds of opposing traffic and also with decreasing the distance between a speeds hump and the U-turn location.
      PubDate: 2020-10-30
      DOI: 10.1007/s13177-020-00237-y
       
  • Evaluating the Performance of Signalized Intersection with Signal
           Countdown Timer
    • Abstract: Abstract Signalized intersections are the interrupted traffic flow facility in a roadway network. The efficiency of traffic operations at the signalized intersection is expected to improve during inter-green intervals. To improve the quality of service at an intersection the traffic control devices are used widely over the world. The time intervals defined for traffic signal operation help to reduce severe traffic conflicts, delay, and improve driver’s decision for making turns. The present study evaluates the performance of traffic operations under with and without signal countdown timer (SCT) conditions based on field data collected at two signalized intersections in Hyderabad city, India. The vehicles speeding behavior and drivers complying with traffic regulation are also analyzed under different countdown timer conditions. It has been found that the average approaching speed of vehicles and red-light violations are found to be changed due to changes in the signal countdown timer conditions. The average startup loss time calculated in the field was found to be decreased when SCT was inactive. A significant increase in the capacity of signalized intersections has been observed when SCT was active. The traffic performance measures such as average control delay and queue lengths as estimated on the approaches were influenced due to the presence of STCs. The study finds that the signal countdown timer is an effective device that can enhance the traffic safety and operational performance of a signalized intersection.
      PubDate: 2020-10-26
      DOI: 10.1007/s13177-020-00233-2
       
  • Development of a Situational Awareness Estimation Model Considering
           Traffic Environment for Unscheduled Takeover Situations
    • Abstract: Abstract In semi-autonomous vehicles (SAE level 3) that requires drivers to takeover (TO) the control in critical situations, a system needs to judge if the driver have enough situational awareness (SA) for manual driving. We previously developed a SA estimation system that only used driver’s glance data. For deeper understanding of driver’s SA, the system needs to evaluate the relevancy between driver’s glance and surrounding vehicle and obstacles. In this study, we thus developed a new SA estimation model considering driving-relevant objects and investigated the relationship between parameters. We performed TO experiments in a driving simulator to observe driver’s behavior in different position of surrounding vehicles and TO performance such as the smoothness of steering control. We adopted support vector machine to classify obtained dataset into safe and dangerous TO, and the result showed 83% accuracy in leave-one-out cross validation. We found that unscheduled TO led to maneuver error and glance behavior differed from individuals.
      PubDate: 2020-10-19
      DOI: 10.1007/s13177-020-00231-4
       
  • Numerical Stability of Conservation Equation for Bus Travel Time
           Prediction Using Automatic Vehicle Location Data
    • Abstract: Abstract Travel time is a variable that varies over both time and space. Hence, an ideal formulation should be able to capture its evolution over time and space. A mathematical representation capturing such variations was formulated from first principles, using the concept of conservation of vehicles. The availability of position and speed data obtained from GPS enabled buses provide motivation to rewrite the conservation equation in terms of speed alone. As the number of vehicles is discrete, the speed-based equation was discretized using Godunov scheme and used in the prediction scheme that was based on the Kalman filter. With a limited fleet size having an average headway of 30 min, availability of travel time data at small interval that satisfy the requirement of stability of numerical solution possess a big challenge. To address this issue, a continuous speed fill matrix spatially and temporally was developed with the help of historic data and used in this study. The performance of the proposed Advanced Time-Space Discterization (AdTSD) method was evaluated with real field data and compared with existing approaches. Results show that AdTSD approach was able to perform better than historical average approach with an advantage up to 11% and 5% compared to Base Time Space Discretization (BTSD) approach. Also, from the results it was observed that the maximum deviation in prediction was in the range of 2–3 min when it is predicted 10 km ahead and the error is close to zero when it is predicted a section ahead i.e. when the bus is close to a bus stop, indicating that the prediction accuracy achieved is suitable for real field implementation.
      PubDate: 2020-10-16
      DOI: 10.1007/s13177-020-00230-5
       
 
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