LimSim: A Long-term Interactive Multi-scenario Traffic Simulator
| Autor: | Wen, Licheng, Fu, Daocheng, Mao, Song, Cai, Pinlong, Dou, Min, Li, Yikang, Qiao, Yu |
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| Rok vydání: | 2023 |
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| Druh dokumentu: | Working Paper |
| Popis: | With the growing popularity of digital twin and autonomous driving in transportation, the demand for simulation systems capable of generating high-fidelity and reliable scenarios is increasing. Existing simulation systems suffer from a lack of support for different types of scenarios, and the vehicle models used in these systems are too simplistic. Thus, such systems fail to represent driving styles and multi-vehicle interactions, and struggle to handle corner cases in the dataset. In this paper, we propose LimSim, the Long-term Interactive Multi-scenario traffic Simulator, which aims to provide a long-term continuous simulation capability under the urban road network. LimSim can simulate fine-grained dynamic scenarios and focus on the diverse interactions between multiple vehicles in the traffic flow. This paper provides a detailed introduction to the framework and features of the LimSim, and demonstrates its performance through case studies and experiments. LimSim is now open source on GitHub: https://www.github.com/PJLab-ADG/LimSim . Comment: Accepted by 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023) |
| Databáze: | arXiv |
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