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Car-Following Models: A Multidisciplinary Review
IEEE Transactions on Intelligent VehiclesCar-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS). Insights from the model of car-following behavior help us understand the causes of various macro phenomena that arise from interactions between pairs of vehicles ...
Tianya Terry Zhang +2 more
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An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles [PDF]
Sensors, 2021 The dramatic progress of Intelligent Transportation Systems (ITS) has made autodriving technology extensively emphasised. Various models have been developed for the aim of modelling the behaviour of autonomous vehicles and their impacts on traffic ...
Akito Higatani, Wafaa Saleh
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An Intelligent Evolving Car-Following Model
IEEE Access, 2023 The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process through ...
Majid Abdollahzade, Reza Kazemi
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Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]
PLoS ONEUnder snowy weather conditions, factors such as road conditions and weather conditions significantly affect vehicle car-following behavior. Traditional car-following models struggle to accurately capture driving characteristics on slippery roads.
Yaping Sun +3 more
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Fusion Modeling Method of Car-Following Characteristics [PDF]
IEEE Access, 2019 Car-following model is indispensable to evaluate the characteristics of car-following behaviors. Through an analysis and comparison of data-driven and theoretically driven car-following models, it shows that the data-driven model has poor ...
Yufang Li +3 more
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Smart Cities, 2021 The platform of a microscopic traffic simulation provides an opportunity to study the driving behavior of vehicles on a roadway system. Compared to traditional conventional cars with human drivers, the car-following behaviors of autonomous vehicles (AVs)
Hafiz Usman Ahmed, Ying Huang, Pan Lu
exaly +3 more sources
Task-Difficulty Homeostasis in Car Following Models: Experimental Validation Using Self-Paced Visual Occlusion. [PDF]
PLoS ONE, 2017 Car following (CF) models used in traffic engineering are often criticized for not incorporating "human factors" well known to affect driving. Some recent work has addressed this by augmenting the CF models with the Task-Capability Interface (TCI) model,
Jami Pekkanen +3 more
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SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
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World Electric Vehicle Journal, 2023 Despite the significant impact of network hyperparameters on deep learning car-following models, there has been relatively little research on network hyperparameters of deep learning car-following models.
Pinpin Qin +5 more
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International Journal of Transportation Science and Technology, 2022 The existing conventional traffic flow models aims to simulate human-driven following vehicles in real world. In this era of emerging transport solutions, controlling or intervening traffic flow to achieve high fuel efficiency along with good driving ...
Yang Yu, Xiaobo Qu
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