LimSim: A Long-term Interactive Multi-scenario Traffic Simulator

TL;DR

LimSim is a novel traffic simulation system designed for long-term, multi-scenario, high-fidelity urban traffic modeling, addressing limitations of existing simulators in scenario diversity and vehicle interaction realism.

Contribution

This paper introduces LimSim, a comprehensive traffic simulator capable of long-term, multi-scenario, and detailed vehicle interaction modeling, filling gaps in existing simulation tools.

Findings

Successfully simulates diverse, dynamic traffic scenarios

Demonstrates realistic multi-vehicle interactions

Supports long-term urban traffic analysis

Abstract

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 .