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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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 3 vom: 16. März, Seite 1664-1677
1. Verfasser: Chao, Qianwen (VerfasserIn)
Weitere Verfasser: Liu, Pengfei, Han, Yi, Lin, Yingying, Li, Chaoneng, Miao, Qiguang, Jin, Xiaogang
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
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245 1 2 |a A Calibrated Force-Based Model for Mixed Traffic Simulation 
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520 |a 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 
650 4 |a Journal Article 
700 1 |a Liu, Pengfei  |e verfasserin  |4 aut 
700 1 |a Han, Yi  |e verfasserin  |4 aut 
700 1 |a Lin, Yingying  |e verfasserin  |4 aut 
700 1 |a Li, Chaoneng  |e verfasserin  |4 aut 
700 1 |a Miao, Qiguang  |e verfasserin  |4 aut 
700 1 |a Jin, Xiaogang  |e verfasserin  |4 aut 
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