Results 21 to 30 of about 2,712,717 (312)
Bayesian Calibration of Car-Following Models
IFAC Proceedings Volumes, 2009 Abstract Recent research has revealed that there exist large inter-driver differences in car-following behavior such that different car-following models may apply to different drivers. This study applies Bayesian techniques to the calibration of car-following models, where prior distributions on each model parameter are converted to posterior ...
Van Hinsbergen, C.P.IJ. (author) +3 more
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The Car-Following Model and Its Applications in the V2X Environment: A Historical Review
Future Internet, 2021 The application of vehicle-to-everything (V2X) technology has resulted in the traffic environment being different from how it was in the past. In the V2X environment, the information perception ability of the driver–vehicle unit is greatly enhanced. With
Junyan Han +4 more
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Applied Sciences, 2023 Cycling can bring a wide range of social, economic, and health benefits to individuals and communities. The safety and efficiency of bicycle facilities can be significantly impacted by the interactions among riders.
Charitha Dias +4 more
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Modelling of Driver and Pedestrian Behaviour – A Historical Review
Promet (Zagreb), 2020 Driver and pedestrian behaviour significantly affect the safety and the flow of traffic at the microscopic and macroscopic levels. The driver behaviour models describe the driver decisions made in different traffic flow conditions.
Karlo Babojelić, Luka Novacko
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Adaptive Car Following Model [PDF]
Strojnícky časopis - Journal of Mechanical Engineering, 2018 Abstract The vehicle dynamics was a very lot developed in the last twenty years. There is a huge gap in the different vehicle models in this field. Researchers need accurate the car following models because of it. There are several mathematical model, which describe the dynamics and the motion of individual vehicles. This models based on
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Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence
Journal of Advanced Transportation, 2020 In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved
Da-wei Liu, Zhong-ke Shi, Wen-Huan Ai
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A CNN-LSTM Car-Following Model Considering Generalization Ability
Sensors, 2023 To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
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Модель транспортного потока, основанная на взаимодействии частиц с потенциалом действия
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2022 Современное бурное развитие беспилотных автомобилей ставит вопрос оценки последствия их внедрения на транспортный поток, что делает актуальной задачу создания смешанной модели. Объектом исследования статьи является транспортный поток.
Бобровская, О.П. +2 more
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, 2020 Lane changing dynamics are an important part of traffic microsimulation and are vital for modeling weaving sections and merge bottlenecks. However, there is often much more emphasis placed on car following and gap acceptance models, whereas lane changing
Gao, H. Oliver, Keane, Ronan
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Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data [PDF]
, 2018 Accurate understanding of driver behaviour is crucial for future Advanced Driver Assistance Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS respect individual driving styles and adapt accordingly. Using data collected
Allison, Craig K. +4 more
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