Subjects -> MANUFACTURING AND TECHNOLOGY (Total: 363 journals)
    - CERAMICS, GLASS AND POTTERY (31 journals)
    - MACHINERY (34 journals)
    - MANUFACTURING AND TECHNOLOGY (223 journals)
    - METROLOGY AND STANDARDIZATION (6 journals)
    - PACKAGING (19 journals)
    - PAINTS AND PROTECTIVE COATINGS (4 journals)
    - PLASTICS (42 journals)
    - RUBBER (4 journals)

MANUFACTURING AND TECHNOLOGY (223 journals)                  1 2     

Showing 1 - 73 of 73 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 27)
Additive Manufacturing     Hybrid Journal   (Followers: 18)
Additive Manufacturing Letters     Open Access   (Followers: 3)
Advanced Composites and Hybrid Materials     Hybrid Journal   (Followers: 2)
Advanced Industrial and Engineering Polymer Research     Open Access   (Followers: 4)
Advanced Manufacturing: Polymer & Composites Science     Open Access   (Followers: 39)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 9)
Advances in Industrial and Manufacturing Engineering     Open Access   (Followers: 4)
Advances in Manufacturing     Hybrid Journal   (Followers: 9)
Advances in Manufacturing Science and Technology     Open Access   (Followers: 10)
Advances in Materials and Processing Technologies     Hybrid Journal   (Followers: 1)
Advances in Technology Innovation     Open Access   (Followers: 5)
Afrique Science : Revue Internationale des Sciences et Technologie     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 22)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Appita Journal: Journal of the Technical Association of the Australian and New Zealand Pulp and Paper Industry     Full-text available via subscription   (Followers: 6)
Applied Ergonomics     Hybrid Journal   (Followers: 17)
Asia Pacific Biotech News     Hybrid Journal   (Followers: 3)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Australian Journal of Learning Difficulties     Hybrid Journal   (Followers: 9)
Australian TAFE Teacher     Full-text available via subscription   (Followers: 4)
Behavioral and Cognitive Neuroscience Reviews     Hybrid Journal   (Followers: 25)
Bio-Design and Manufacturing     Hybrid Journal  
Biomanufacturing Reviews     Full-text available via subscription  
Biotechnology     Open Access   (Followers: 7)
Biotechnology Progress     Hybrid Journal   (Followers: 39)
Bulletin of Science, Technology & Society     Hybrid Journal   (Followers: 9)
Centaurus     Hybrid Journal   (Followers: 7)
China Foundry     Open Access  
Circuit World     Hybrid Journal   (Followers: 16)
Clay Technology     Full-text available via subscription  
Cold Regions Science and Technology     Hybrid Journal   (Followers: 2)
Comparative Technology Transfer and Society     Full-text available via subscription   (Followers: 4)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 27)
Composites Science and Technology     Hybrid Journal   (Followers: 158)
Computer-Aided Design and Applications     Hybrid Journal   (Followers: 6)
Conference Quality Production Improvement     Open Access  
Control Theory and Informatics     Open Access   (Followers: 9)
Control Theory and Technology     Hybrid Journal   (Followers: 2)
Cryoletters     Full-text available via subscription   (Followers: 4)
Current Protocols in Essential Laboratory Techniques     Full-text available via subscription  
Current Research in Nanotechnology     Open Access   (Followers: 23)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Decision Making in Manufacturing and Services     Open Access   (Followers: 2)
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 33)
Design Studies     Hybrid Journal   (Followers: 34)
Economics of Innovation and New Technology     Hybrid Journal   (Followers: 19)
Emerging Materials Research     Hybrid Journal   (Followers: 1)
Environmental Technology     Hybrid Journal   (Followers: 2)
Fibers     Open Access   (Followers: 4)
Fibers and Polymers     Full-text available via subscription   (Followers: 4)
Foresight     Hybrid Journal   (Followers: 7)
FORMakademisk - forskningstidsskrift for design og designdidaktikk     Open Access   (Followers: 2)
Futures     Hybrid Journal   (Followers: 15)
Gender, Technology and Development     Hybrid Journal   (Followers: 14)
Green Materials     Hybrid Journal   (Followers: 3)
History and Technology: An International Journal     Hybrid Journal   (Followers: 11)
History of Science and Technology     Open Access   (Followers: 2)
Human Factors in Design     Open Access   (Followers: 10)
i+Diseño : Revista científico-académica internacional de Innovación, Investigación y Desarrollo en Diseño     Open Access  
IEEE Engineering in Medicine and Biology Magazine     Full-text available via subscription   (Followers: 6)
IEEE Open Journal of Nanotechnology     Open Access   (Followers: 1)
IET Collaborative Intelligent Manufacturing     Open Access   (Followers: 1)
IETE Journal of Research     Open Access   (Followers: 10)
IETE Technical Review     Open Access   (Followers: 9)
IFAC Journal of Systems and Control     Hybrid Journal   (Followers: 1)
Indian Journal of Radio & Space Physics (IJRSP)     Open Access   (Followers: 49)
Información Tecnológica     Open Access  
Innovation: Management, Policy & Practice     Hybrid Journal   (Followers: 16)
Innovation: The European Journal of Social Science Research     Hybrid Journal   (Followers: 10)
Innovations : Technology, Governance, Globalization     Hybrid Journal   (Followers: 10)
Integrating Materials and Manufacturing Innovation     Open Access   (Followers: 7)
International Journal for Quality Research     Open Access   (Followers: 4)
International Journal for the History of Engineering and Technology     Hybrid Journal   (Followers: 2)
International Journal of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 8)
International Journal of Advanced Design and Manufacturing Technology     Open Access   (Followers: 7)
International Journal of Automation and Logistics     Hybrid Journal   (Followers: 3)
International Journal of Bifurcation and Chaos     Hybrid Journal   (Followers: 4)
International Journal of Business and Systems Research     Hybrid Journal   (Followers: 1)
International Journal of Concrete Technology     Full-text available via subscription   (Followers: 1)
International Journal of Design     Open Access   (Followers: 24)
International Journal of Design Creativity and Innovation     Hybrid Journal   (Followers: 2)
International Journal of Digital Enterprise Technology     Hybrid Journal   (Followers: 1)
International Journal of Embedded Systems and Emerging Technologies     Full-text available via subscription   (Followers: 3)
International Journal of Energy Technology and Policy     Hybrid Journal   (Followers: 6)
International Journal of Engineering and Manufacturing     Open Access   (Followers: 3)
International Journal of Engineering Materials and Manufacture     Open Access   (Followers: 2)
International Journal of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 5)
International Journal of Information Acquisition     Hybrid Journal   (Followers: 1)
International Journal of Innovation and Technology Management     Hybrid Journal   (Followers: 10)
International Journal of Innovation Science     Hybrid Journal   (Followers: 9)
International Journal of Instructional Technology and Educational Studies     Open Access   (Followers: 1)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 13)
International Journal of Law and Information Technology     Hybrid Journal   (Followers: 7)
International Journal of Learning Technology     Hybrid Journal   (Followers: 8)
International Journal of Lightweight Materials and Manufacture     Open Access  
International Journal of Manufacturing Engineering     Open Access   (Followers: 4)
International Journal of Manufacturing, Materials, and Mechanical Engineering     Full-text available via subscription   (Followers: 17)
International journal of materials research     Full-text available via subscription   (Followers: 2)
International Journal of Mathematical Education in Science and Technology     Hybrid Journal   (Followers: 9)
International Journal of Nano and Biomaterials     Hybrid Journal   (Followers: 8)
International Journal of Physical Modelling in Geotechnics     Hybrid Journal   (Followers: 4)
International Journal of Planning and Scheduling     Hybrid Journal   (Followers: 2)
International Journal of Power and Energy Systems     Full-text available via subscription   (Followers: 1)
International Journal of Precision Engineering and Manufacturing-Green Technology     Hybrid Journal   (Followers: 2)
International Journal of Production Management and Engineering     Open Access   (Followers: 4)
International Journal of Quality and Innovation     Hybrid Journal   (Followers: 6)
International Journal of Quality Engineering and Technology     Hybrid Journal   (Followers: 4)
International Journal of Service and Computing Oriented Manufacturing     Hybrid Journal   (Followers: 2)
International Journal of Social and Humanistic Computing     Hybrid Journal  
International Journal of System of Systems Engineering     Hybrid Journal   (Followers: 3)
International Journal of Technoentrepreneurship     Hybrid Journal   (Followers: 1)
International Journal of Technological Learning, Innovation and Development     Hybrid Journal   (Followers: 6)
International Journal of Technology and Design Education     Hybrid Journal   (Followers: 11)
International Journal of Technology and Globalisation     Hybrid Journal   (Followers: 3)
International Journal of Technology Intelligence and Planning     Hybrid Journal  
International Journal of Technology Management     Hybrid Journal   (Followers: 4)
International Journal of Technology Marketing     Hybrid Journal   (Followers: 3)
International Journal of Technology Transfer and Commercialisation     Hybrid Journal   (Followers: 2)
International Journal of Technology, Policy and Management     Hybrid Journal   (Followers: 2)
International Journal of Telecommunications & Emerging Technologies     Full-text available via subscription   (Followers: 1)
International Journal of Vehicle Autonomous Systems     Hybrid Journal  
International Journal of Vehicle Design     Hybrid Journal   (Followers: 6)
International Wood Products Journal     Hybrid Journal   (Followers: 1)
Invention Disclosure     Open Access   (Followers: 1)
ITL - International Journal of Applied Linguistics     Full-text available via subscription   (Followers: 15)
Journal of Analytical Science & Technology     Open Access   (Followers: 4)
Journal of Applied Sciences     Open Access   (Followers: 4)
Journal of Control & Instrumentation     Full-text available via subscription   (Followers: 18)
Journal of Design Research     Hybrid Journal   (Followers: 15)
Journal of Energy, Mechanical, Material and Manufacturing Engineering     Open Access   (Followers: 3)
Journal of Engineered Fibers and Fabrics     Open Access  
Journal of Enterprise Transformation     Hybrid Journal   (Followers: 1)
Journal of Hazardous Materials Advances     Open Access  
Journal of High Technology Management Research     Hybrid Journal   (Followers: 2)
Journal of Industrial and Production Engineering     Hybrid Journal   (Followers: 4)
Journal of large-scale research facilities JLSRF     Open Access  
Journal of Manufacturing and Materials Processing     Open Access  
Journal of Materials Science Research     Open Access   (Followers: 8)
Journal of Micro-Bio Robotics     Hybrid Journal  
Journal of Micromanufacturing     Hybrid Journal  
Journal of Nanobiotechnology     Open Access   (Followers: 4)
Journal of Operations and Supply Chain Management     Open Access   (Followers: 6)
Journal of Production Research & Management     Full-text available via subscription   (Followers: 3)
Journal of Remanufacturing     Open Access   (Followers: 3)
Journal of Scientific and Industrial Research (JSIR)     Open Access   (Followers: 10)
Journal of Sensor Technology     Open Access   (Followers: 3)
Journal of Sensors and Sensor Systems     Open Access   (Followers: 12)
Journal of Sustainable Metallurgy     Hybrid Journal   (Followers: 4)
Journal of Technological Possibilism     Open Access  
Journal of Technology in Human Services     Hybrid Journal   (Followers: 3)
Journal of Technology Management for Growing Economies     Open Access   (Followers: 3)
Journal of Technology Management in China     Hybrid Journal   (Followers: 1)
Journal of the Chinese Institute of Industrial Engineers     Hybrid Journal  
Journal of The Royal Society Interface     Full-text available via subscription   (Followers: 9)
Journal of Urban Technology     Hybrid Journal   (Followers: 5)
Journal of Urban Technology and Sustainability     Open Access  
Jurnal Energi Dan Manufaktur     Open Access  
Lasers in Manufacturing and Materials Processing     Full-text available via subscription   (Followers: 2)
Leibniz Transactions on Embedded Systems     Open Access  
Lightweight Design     Hybrid Journal   (Followers: 4)
Management and Production Engineering Review     Open Access   (Followers: 1)
Manufacturing Letters     Full-text available via subscription   (Followers: 2)
Manufacturing Review     Open Access   (Followers: 1)
Manufacturing Science and Technology     Open Access   (Followers: 3)
Materials Circular Economy     Hybrid Journal  
Materials Science and Engineering: B     Hybrid Journal   (Followers: 22)
Materials testing. Materialprüfung     Full-text available via subscription   (Followers: 4)
MECCA Journal of Middle European Construction and Design of Cars     Open Access  
Mechanics of Soft Materials     Hybrid Journal  
Métodos y Materiales     Open Access   (Followers: 1)
Micro and Nanostructures     Full-text available via subscription   (Followers: 5)
Microgravity Science and Technology     Hybrid Journal   (Followers: 4)
Modern Electronic Materials     Open Access   (Followers: 1)
Multimodal Transportation     Open Access   (Followers: 4)
Nano Select     Open Access  
NanoEthics     Hybrid Journal  
Nanomanufacturing and Metrology     Hybrid Journal   (Followers: 2)
Nature Biotechnology     Full-text available via subscription   (Followers: 531)
NDT & E International     Hybrid Journal   (Followers: 225)
New Techno-Humanities     Open Access   (Followers: 1)
Nonconventional Technologies Review     Open Access  
Perspectives on Global Development and Technology     Hybrid Journal  
Plastics, Rubber and Composites     Hybrid Journal   (Followers: 9)
Procedia CIRP     Open Access   (Followers: 2)
Production & Manufacturing Research     Open Access   (Followers: 2)
Progress in Additive Manufacturing     Hybrid Journal   (Followers: 8)
Progress in Rubber, Plastics and Recycling Technology     Hybrid Journal   (Followers: 1)
Reliability Engineering & System Safety     Hybrid Journal   (Followers: 18)
Remote Sensing Letters     Hybrid Journal   (Followers: 46)
Research Papers Faculty of Materials Science and Technology Slovak University of Technology     Open Access   (Followers: 3)
Revista de Ciências Exatas e Tecnologia     Open Access  
Revista Produção Online     Open Access  
Science and Technology of Advanced Materials     Open Access   (Followers: 7)
Science China Materials     Hybrid Journal   (Followers: 1)
Scientia Canadensis: Canadian Journal of the History of Science, Technology and Medicine / Scientia Canadensis : revue canadienne d'histoire des sciences, des techniques et de la médecine     Open Access   (Followers: 4)
Strategic Design Research Journal     Open Access   (Followers: 1)
Structural Health Monitoring     Hybrid Journal   (Followers: 6)
Superhero Science and Technology     Open Access   (Followers: 3)
Sustainability and Climate Change     Full-text available via subscription   (Followers: 11)

        1 2     

Similar Journals
Journal Cover
International Journal of Intelligent Transportation Systems Research
Journal Prestige (SJR): 0.301
Citation Impact (citeScore): 1
Number of Followers: 13  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1868-8659 - ISSN (Online) 1868-8659
Published by Springer-Verlag Homepage  [2469 journals]
  • The Car-Following Model Based on the Drivers' Psychological
           Characteristics

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      Abstract: Abstract In this paper, the car-following model based on drivers' psychological characteristics is proposed for developing drivers' explicit behavior decision under complicated driving environment. The nature of driving behavior in different driving mode is discussed based on the concept of decision-making system, using the drivers' psychological individuality combined with universality of vehicle kinetics. Especially, the perceived distance and expected safety distance are considered rather than the traditional space headway. The genetic algorithm and NGSIM (New Generation Simulation) data are used to calibrate parameters in car-following model. It is shown in the calibration results that the drivers have different concerns in different driving mode, and it is logical for the drivers' psychological characteristics. The effectiveness and accuracy of proposed model have been verified compared to the GM and FVD model in simulation results.
      PubDate: 2022-06-15
       
  • Relevance Rule in Adding Up Non-Given Attributes in Travel Stated Choices:
           A Consideration Under Anchoring Perspective

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      Abstract: Abstract This study is among the first studies investigating how non-given attributes are used in deciding stated choices for daily travel under anchoring perspective. Our theoretical work leads us to a conceptual model that non-given attributes are systematically included in the choice making process based on their relevance to the choice decision. The relevant rule for re-packing of the attribute set is activated in a way that the involvement of non-given attributes does not eliminate the influence of given attributes on choices. Notably, more non-given attributes are involved in choice decision when respondents deal with cases that are more difficult to trade-off between given attributes. To obtain empirical supports, a paper-based questionnaire interview was conducted. Findings based on 649 individual responses of travellers in Can Tho city, Vietnam successfully showed that travel time and travel cost significantly influence the stated choice between bus and motorcycle regardless of the involvement of respondents’ travel experiences. In addition, it was observed that all the investigated travel experiences were associated with stated choices in more difficult cases (more efforts to trade-off between travel time and travel cost) while fewer travel experiences were associated with stated choices in less difficult cases (less efforts to trade-off between travel time and travel cost). The positive association between the judgement difficulty based on given attributes and the number of anchors associated with stated choices suggests that the search engine of respondents is task-dependent and it tends to expand its searching scope accordingly to the task difficulty. This implies that the anchoring effect is more complicated in more difficult cases, and that stated scenarios are not equally treated by respondents. As such, any conclusion of stated choices should be made in full awareness of this important phenomenon.
      PubDate: 2022-06-06
       
  • Highway Lane-Changing Prediction Using a Hierarchical Software
           Architecture based on Support Vector Machine and Continuous Hidden Markov
           Model

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      Abstract: Abstract Lane changing behavior is one of the most essential and complex driving attributes. The lack of proper lane changing behavior can lead to collisions and traffic congestion. In this work, a novel hierarchical software architecture for the prediction of lane changing behavior on highways has been developed and evaluated. The two-layer hierarchical structure of the proposed model is based on a support vector machine (SVM) in the first layer followed by another model based on continuous Hidden Markov Model (HMM) incorporated with a Gaussian Mixture Model (GMM) in the second layer. The trajectory classification predicted in the first layer by the SVM is binary, i.e., Lane Change (LC) and Lane Keep (LK) behaviors. The second layer of the software architecture further classifies the LC behavior output of the first layer to left-lane change (LLC) and right-lane change (RLC) behaviors using the model of continuous HMM (CHMM) incorporated with GMM. The developed model has been evaluated using the real-world dataset of U.S. Highway 101 and Interstate 80 from Federal Highway Administration’s Next Generation Simulation (NGSIM). The first layer prediction is performed within an approximately 10 seconds time window. The positions, velocity and Time to Collision (TTC) of the target and surrounding vehicles are taken as input parameters in the model execution of the second layer. The test results show that the proposed hierarchical model exhibits 91% accuracy for LLC, 87% accuracy for RLC and 99% accuracy for LK behaviors. This model can be effectively used as a lane changing suggestion system in the advanced driver assistance systems (ADAS).
      PubDate: 2022-06-02
       
  • Proposed Policy to Manage the Barrier of the Implementation of Intelligent
           Transportation System

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      Abstract: Abstract This study has two objectives. First, this study investigated the barriers and their relationship that make ITS project development in Semarang City still hard. Second, this study aimed to propose some policies to mitigate those barriers. This study identifies 16 ITS project implementation barriers based on the previous research. Then, to fulfill the research objectives, this study employs three distinct methods: content validity analysis as a technique to measuring how well the factors correspond to or reflect a barrier to the ITS project’s implementation; interpretive structural modeling (ISM) as a technique for determining the direct or indirect between barriers; and Delphi as the technique to find the consensus of proposed policies to mitigate the significant barriers. The result of data processing with ISM indicated that internal organizational barriers in the context of the timing of procedure for writing plans, divided responsibilities, and the right organizational system to drive ITS project’s implementation occupied the topmost level. This barrier is affected by the lower level and has less influence than the remaining barriers. The result of data processing with the ISM method also indicated three very significant barriers to the ITS project’s implementation, namely low interoperability of the system at the Department of Transportation Semarang City, which is making it challenging to integrate the ITS-based transportation system; lack of involvement of related institutions to build long-term commitment and awareness that ITS project’s implementation has potential lack of awareness that the ITS project’s implementation has the potential to reduce crashes and save lives; and political problems (political short-termism or discontinuities due to political cycles). Then, the result of data processing with Delphi proposed and validated several policies to mitigate those barriers.
      PubDate: 2022-06-02
       
  • A Data-Driven Approach for Traffic Crash Prediction: A Case Study in
           Ningbo, China

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      Abstract: Abstract In the past few years, fully connected Long Short-Term Memory (FC-LSTM) network has been widely used to predict traffic crashes in urban areas. This article attempts to improve the traditional prediction model by adopting Convolutional Long Short-Term Memory (ConvLSTM) network. ConvLSTM can effectively capture the spatial and temporal characteristics of traffic crashes within road network. It overcomes the shortcoming of the FC-LSTM model that ignores the spatial characteristics of traffic crashes. Therefore, the ConvLSTM model shows excellent performance when predicting traffic crashes. To verify the effectiveness of the ConvLSTM, this study uses historical crash data in the City of Ningbo to train the model and compares the result with that from FC-LSTM. The results show that ConvLSTM has better accuracy and lower loss values. Moreover, the model has higher calculation efficiency. Therefore, the ConvLSTM model is more suitable for predicting traffic crashes.
      PubDate: 2022-06-01
       
  • Automated Truck Taxonomy Classification Using Deep Convolutional Neural
           Networks

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      Abstract: Abstract Trucks are the key transporters of freight. The types of commodities and goods mainly determine the right trailer for carrying them. Furthermore, finding the commodities’ flow is an important task for transportation agencies in better planning freight infrastructure investments and initiating near-term traffic throughput improvements. In this paper, we propose a fine-grained deep learning based truck classification system that can detect and classify the trucks, tractors, and trailers following the Federal Highway Administration’s (FHWA) vehicle schema. We created a large, fine-grained labeled dataset of vehicle images collected from state highways. Experimental results show the high accuracy of our system and visualize the salient features of the trucks that influence classification.
      PubDate: 2022-05-11
       
  • Dynamic Weight-based Multi-Objective Reward Architecture for Adaptive
           Traffic Signal Control System

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      Abstract: Abstract An Adaptive Traffic Signal Control (ATSC) system uses real-time traffic information to control traffic lights and makes the public transport system more reliable and accessible. Deep Reinforcement Learning (DRL) has recently demonstrated its use in resolving traffic signal control problems. However, designing a good reward function is one of the most crucial aspects of DRL since the system learns to make proper decisions based on reward. Furthermore, the multi-objective reward function is preferable for the ATSC system, which is more challenging than designing a single objective. The existing multi-objective reward functions use pre-defined fixed weights to combine the multiple parameters, which requires rigorous training and cannot represent the actual impact of the parameters. To solve this problem, we proposed a new reward architecture called Dynamic Weights Multi-objective Reward Architecture (DWMORA) for ATSC. It calculates the weights instantly based on the current traffic condition to ensure the actual impact of the parameters. A comparative result study of the proposed approach with several existing reward functions shows the improvement of the road traffic in terms of waiting time, travel time, and halting number.
      PubDate: 2022-04-29
       
  • Implementation of a Compact Traffic Signs Recognition System Using a New
           Squeezed YOLO

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      Abstract: Abstract The importance of traffic signs cannot be overstated when it comes to road safety. The necessity for rapid and precise Traffic Sign classifier remains a challenge due to the complexity of traffic signs shapes and forms. In this paper, a real-time detector is presented for the German Traffic Sign Recognition Benchmark (GTSRB). GTSRB has 43 different classes with various shapes, forms, and colours. Their similarity is useful for object localisation but not for sign classification. In this article, a real-time detector for GTSRB is created using an upgraded compact YOLO-V4 Technique and implemented on the new NVIDIA Jetson Nano. To find and detect GTSRB pictures, a compact and efficient classifier is introduced. For the first time, this paper compares the detection and categorization of traffic signs using YOLO-V3 and 4, both regular and tiny. Because most of real-time identification algorithms require a lot of processing power, the suggested compact classifier, which is based on the new YOLO-V4 Tiny, can recognize all 43 traffic signals with an average accuracy of 95.44% percent and a YOLO model size of just 9 MB. The GTSRB test dataset was used to validate this approach, which was then tested on the new Jetson Nano. In comparison to existing algorithms such as CNN, YOLO-V3, YOLO-V4, and Faster R-CNN, the suggested technique may successfully save more computational power and processing time.
      PubDate: 2022-04-22
       
  • Autonomous Bus Pilot Project Testing and Demonstration using Light Rail
           Transit Track

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      Abstract: Abstract The rapidly aging society of Japan requires a quality transportation system that provides new mobility services combining innovative technologies to include all residents. The present study carries out a pilot test of the world’s first connected public transport system between autonomous buses (AB) and the light rail transit (LRT). In this system, telecommunication between two modes enabled the bus to fully self-drive and pull in precisely at an LRT stop. Reporting a result of the pilot test in Hiroshima, this paper analyzes (a) the feasibility of the system based on a monitor survey and (b) public acceptance based on a resident survey of local residents.
      PubDate: 2022-04-21
       
  • Cellular Automata Model for Lane Changing Activity

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      Abstract: Abstract In the present work, a microscopic traffic flow model using Cellular Automata is proposed. The model is intended to explain accurately the lane changing activity, which is treated as a continuous process rather than a discrete event as suggested by previous models. Various important properties of traffic flow could be explained by the proposed model and the simulated results are quite reasonable. The proposed model can give explanation to the microscopic properties, like, local stability, asymptotic stability, closing-in/shying-away and insensitivity of safe distance headway to perturbation pattern, initial distance headway and initial speed. Macroscopic properties like speed, flow and density were studied for a traffic stream under various conditions like varying road width. The results obtained from simulation of single lane and wide roads with lane discipline match closely to the values suggested by Highway Capacity Manual.
      PubDate: 2022-04-18
       
  • Effect of Acceleration and Deceleration Information of Preceding Vehicle
           Group on Fuel Economy of Following Vehicle in Starting

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      Abstract: Abstract This study looked at the effectiveness of acceleration/deceleration information regarding preceding and pre-preceding vehicles on the driving behavior and fuel economy of the following vehicle. As a result, it was suggested that information provision may improve the fuel economy of the following vehicle. It was also found that the subjects that increased fuel economy tended to value information on the acceleration/deceleration of the pre-preceding vehicle compared to those that decreased fuel economy did. From the above, it was indicated that the provision of information on the acceleration/deceleration of a preceding vehicle group to a following vehicle was effective.
      PubDate: 2022-04-02
      DOI: 10.1007/s13177-022-00303-7
       
  • A Data-Driven Approach for Vehicle Relocation in Car-Sharing Services with
           Balanced Supply-Demand Ratios

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      Abstract: Abstract To reduce the vehicle relocation rate considering relieving disequilibrium of the supply-demand ratios across regions for car-sharing systems, in this paper, we propose a data-driven optimization framework by integrating the non-parametric learning algorithm and two-stage stochastic programming modeling technique to address the one-way station-based car-sharing relocation problem. In contrast with the most existing work that deals with demand uncertainty using predefined probability distributions, the learning-based framework is capable of handling demand uncertainty by learning the intrinsic pattern from large-scale historical data and computing high quality solutions. To validate the performance of our proposed approach, we conduct a group of numerical experiments based on New York taxicab trip record data set. The experimental results show that our proposed data-driven approach outperforms the parametric approaches and deterministic model in terms of business profit, relocation rate, and value of stochastic solution (VSS). Most significantly, compared with the deterministic approach, the vehicle relocation rates are reduced by approximate 80%, 70% and 40% under small fleet size, medium fleet size and large fleet size, respectively. In addition, the VSS of our approach is more than 3 times higher than the one of Poisson distribution by average.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00269-y
       
  • Lane-Level Vehicle Counting Based on V2X and Centimeter-level Positioning
           at Urban Intersections

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      Abstract: Abstract Accurate vehicles counting for all-weather in cities are an important part of traffic management in the application of Intelligent Transportation Systems (ITS). Vehicle counting is currently collected with computer vision and sensor network methods. However, these methods require expensive hardware to achieve real-time and anti-interference capability, and do not provide lane-level vehicle information for ITS traffic management. This paper presents a lane-level vehicle counting system that is based on V2X communications and centimeter-level positioning technologies. This system can be used to traffic survey of ITS at a range of urban intersections. For realizing lane-level counting, a lane determination method is designed with on-board units (OBUs) in this paper. The lane is identified by matching the vehicle positioning information with road information from the roadside unit (RSU). The RSU collects the vehicle counting information from OBUs in different instances. The counting information includes the vehicle location data, the vehicle status data, and the vehicle number of each lane in the range of intersections. Verification and analysis were performed by a hardware-in-the-loop simulation platform. The results showed an average vehicle counting accuracy rate (99.60%). The system enabled the collection of real-time statistics with low-power consumption and low latency, providing accurate data to ITS.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00271-4
       
  • Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing
           Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed
           Flow Condition

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      Abstract: Abstract Field experiments of autonomous vehicles (AVs) have been conducted in many countries. However, efficiency evaluation of AV mixed flow and safety evaluation of conflicts between AVs and pedestrians in the real-world case are still limited. This study aims at evaluating the efficiency and safety of left-turn (LT) vehicles and pedestrians in signalized intersections, under the condition of AV mixed flow, by developing a simulation model. Post Encroachment Time (PET) and LT capacity were obtained. Further, gap/lag acceptance behavior and reaction time of LT vehicles were found to be critical parameters that affect efficiency and safety evaluations.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00276-z
       
  • Stability Analysis and Control of an Extended Car-Following Model under
           Honk Environment

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      Abstract: Abstract In order to study the traffic jams and congestion and to understand the forming process of traffic congestion. On the basis of synchronization theory of complex network, this paper investigated the stability of an extended car-following model under honk environment. By using the Lyapunov stability theory and designing the appropriate controller, the car-following model is quickly stabilized and the stability condition of the model is obtained. In addition, the stability of the extended car-following model under honk environment is studied when the vehicle is subjected to external disturbance. Finally, the effects of the designed controller on the stability of the extended car-following model under honk environment and the influence of honk effect on the traffic flow are verified by using the Matlab simulation technology. The conclusions of this paper can provide a theoretical reference for the prevention and control of traffic congestion.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00267-0
       
  • Correction to: Comparison of Proactive Braking Intervention System
           Acceptability via Field Operation Tests in Different Regions

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      PubDate: 2022-02-03
      DOI: 10.1007/s13177-021-00285-y
       
  • Traffic Signal Control Parameter Calculation Using Probe Data

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      Abstract: Abstract In signal control, which is one of the main functions of traffic control systems, appropriate signal control parameters are calculated based on the measurement data from vehicle detectors installed on the road. However, the installation and maintenance of vehicle detectors is costly, so realization of a signal control system that can reduce the number of vehicle detectors used while maintaining control level is required. In this paper, we propose a method to calculate signal control parameters without using measurement data from vehicle detectors using traffic information obtained from probe data.
      PubDate: 2022-01-31
      DOI: 10.1007/s13177-021-00292-z
       
  • Factors Influencing the Accuracy of Directional Traffic Volume Estimation
           at Signalized Interaction Using Bluetooth MAC Address

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      Abstract: Abstract This paper analyzes factors influencing directional traffic volume estimation at signalized intersection using MAC address data. The impact of traffic volume level and intersection shape for directional traffic volume estimation accuracy is discussed based on actual data. Then, field surveys to collect Bluetooth MAC address data have been conducted with Video survey data for comparing with estimation results. Through directional traffic volume estimation by MAC address data, we found that not only the effect of traffic volume level and shape of the intersection, but also both traffic congestion and the amounts of heavy vehicles may influence those estimations.
      PubDate: 2022-01-11
      DOI: 10.1007/s13177-021-00290-1
       
  • A comparative study on travel mode share, emission, and safety in five
           Vietnamese Cities

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      Abstract: Abstract Motorcycles dominate current transport activities in Vietnamese cities; however, historical data show that bikes and public transport were popular as recently as 30 years ago. Because the transport infrastructure in Vietnamese cities makes it unsafe for cycling and inconvenient for public transport, many cyclists and public transport users switch to private motorized vehicles, particularly motorcycles, as soon as they can afford to make the change. The preference for motorcycles in Vietnamese cities has resulted in an increased risk of road traffic accidents and a degradation of air quality. Reducing the share of motorcycles on Vietnamese roads by improving public transport would be expected not only to improve public safety but also to have a positive impact on the environment and public health. However, efforts to improve the public transport have not yet been properly integrated into the local government system in every city. As the result, each city has different outcomes in mitigating the motorcycle-related challenges. This study examines travel behaviors in five major Vietnamese cities—Hanoi, Hai Phong, Da Nang, Ho Chi Minh City (HCMC), and Can Tho—and compares the impact of improved public transport on mode choice, emissions, and traffic safety. It is found that improving public transport would result in an 21.11 percent reduction in transport emissions by 2030 in Hanoi, as well as reductions of 12.5 percent in Hai Phong, 17.37 percent in Da Nang, 9.75 percent in HCMC, and 15.21 percent in Can Tho. The differences in these percentages are due to the heterogeneous modal shifts among cities. The provision of improved public transport is also shown to reduce the risk of road traffic accidents. The risk of a traffic fatality in Hanoi decreases by 49.6 percent, while in Hai Phong, the reduction is 43.8 percent; the risk in Can Tho, Da Nang and HCMC decreases by 18.7 percent, 19.8 percent, and 26.3 percent, respectively. As public transport investment is beginning to be adapted to the city context, our results indicate that investment capital on improving the public transport system would partly contribute on reducing emissions and traffic accidents in Vietnamese cities.
      PubDate: 2021-10-21
      DOI: 10.1007/s13177-021-00283-0
       
  • Improve Safety and Security of Intelligent Railway Transportation System
           Based on Balise Using Machine Learning Algorithm and Fuzzy System

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      Abstract: Abstract With the advancement of modern rail transport systems, high-speed railways’ safety and reliability is improved enormously due to proper intelligent traffic management systems. The automatic train control and operating system receive the train location beacons and the railway line’s essential information through various channels, such as Balise wirelessly. However, this technology is vulnerable to cyber-physical attacks. This article aims to investigate the existing cyber attacks on Balise that can result a physical turmoil. Due to the limitations and constraints of the railway infrastructures, the attacks and failure detection methods are proposed based on machine learning. Also, a fuzzy countermeasure system is developed to improve train safety against known and unknown cyber-attacks. The simulation results show 92% accuracy in the proposed successful attacks detection system. Moreover, a small amount of false-positive and false-negative warnings can be also revealed employing the proposed scheme. The proposed method does not require change railway infrastructure.
      PubDate: 2021-09-30
      DOI: 10.1007/s13177-021-00274-1
       
 
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