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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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Adaptive Car Following Model [PDF]
Journal of Mechanical Engineering, 2018 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.
Mika Péter
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Promet (Zagreb), 2012 The article deals with bumper-to-bumper driving. A .systemicapproach to car-following (bumper-to-bumper driving)i.s described and the mathematical model has been developedand solved.
Janez Usenik, Milan Batista
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Identifiability of car-following dynamics [PDF]
Physica D: Nonlinear Phenomena, 2022 The advancement of in-vehicle sensors provides abundant datasets to estimate parameters of car-following models that describe driver behaviors. The question of parameter identifiability of such models (i.e., whether it is possible to infer its unknown parameters from the experimental data) is a central system analysis question, and yet still remains ...
Yanbing Wang +2 more
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A Hierarchical Framework for Multi-Lane Autonomous Driving Based on Reinforcement Learning
IEEE Open Journal of Intelligent Transportation Systems, 2023 This paper proposes a hierarchical framework integrating deep reinforcement learning (DRL) and rule-based methods for multi-lane autonomous driving.
Xiaohui Zhang +3 more
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Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph
Frontiers in Psychology, 2021 In recent years, the mileage of the tunnels has substantially increased with the rapid highway construction that led to increasing highway tunnels.
Yanqun Yang +6 more
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Sensors, 2023 Compared with traditional rule-based algorithms, deep reinforcement learning methods in autonomous driving are able to reduce the response time of vehicles to the driving environment and fully exploit the advantages of autopilot.
Zheng Li +4 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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Action-points in human driving and in SUMO
SUMO Conference Proceedings, 2022 When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed.
Peter Wagner +2 more
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Intelligent Total Transportation Management System for Future Smart Cities
Applied Sciences, 2020 Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public,
Dinh Dung Nguyen +3 more
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