A Calibrated Force-Based Model for Mixed Traffic Simulation

Virtual traffic benefits a variety of applications, including video games, traffic engineering, autonomous driving, and virtual reality. To date, traffic visualization via different simulation models can reconstruct detailed traffic flows. However, each specific behavior of vehicles is always descri...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2023-03, Vol.29 (3), p.1664-1677
Main Authors: Chao, Qianwen, Liu, Pengfei, Han, Yi, Lin, Yingying, Li, Chaoneng, Miao, Qiguang, Jin, Xiaogang
Format: Article
Language:English
Subjects:
Animation
Computational modeling
Computer & video games
Data models
detailed traffic flow
Force
heterogeneous
Microscopy
Roads
Simulation
Simulation models
simulator
Simulators
social force
Solid modeling
Traffic control
Traffic engineering
Traffic flow
Traffic information
Traffic models
Traffic simulation
Trajectory
Urban environments
Virtual reality
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Summary:Virtual traffic benefits a variety of applications, including video games, traffic engineering, autonomous driving, and virtual reality. To date, traffic visualization via different simulation models can reconstruct detailed traffic flows. However, each specific behavior of vehicles is always described by establishing an independent control model. Moreover, mutual interactions between vehicles and other road users are rarely modeled in existing simulators. An all-in-one simulator that considers the complex behaviors of all potential road users in a realistic urban environment is urgently needed. In this work, we propose a novel, extensible, and microscopic method to build heterogeneous traffic simulation using the force-based concept. This force-based approach can accurately replicate the sophisticated behaviors of various road users and their interactions in a simple and unified manner. We calibrate the model parameters using real-world traffic trajectory data. The effectiveness of this approach is demonstrated through many simulation experiments, as well as comparisons to real-world traffic data and popular microscopic simulators for traffic animation.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2021.3128286