交通系统仿真技术发展趋势与展望

doi:10.3981/j.issn.2097-0781.2023.03.007

前瞻科技 ›› 2023, Vol. 2 ›› Issue (3): 77-85.DOI: 10.3981/j.issn.2097-0781.2023.03.007

交通系统仿真技术发展趋势与展望

孙剑¹^,^†(), 田野¹, 任刚²

1.同济大学交通运输工程学院，上海 201804
2.东南大学交通学院，南京 211189

收稿日期:2023-04-10 修回日期:2023-08-18 出版日期:2023-09-20 发布日期:2023-10-10
通讯作者: †
作者简介:孙剑，教授，博士研究生导师。同济大学交通工程系主任。教育部“长江学者奖励计划”青年学者、国家杰出青年科学基金获得者。主要从事交通仿真与应用研究。电子信箱：sunjian@tongji.edu.cn。
基金资助:
国家自然科学基金(52125208);国家自然科学基金(52172391);国家自然科学基金(52002279)

Development Trend and Prospect of Traffic System Simulation Technology

SUN Jian¹^,^†(), TIAN Ye¹, REN Gang²

1. College of Transportation Engineering, Tongji University, Shanghai 201804, China
2. School of Transportation, Southeast University, Nanjing 211189, China

Received:2023-04-10 Revised:2023-08-18 Online:2023-09-20 Published:2023-10-10
Contact: †

摘要/Abstract

摘要：

交通仿真是复杂交通系统评估、分析与优化的核心技术手段，交通仿真系统是交通行业的工业基础软件，交通系统仿真技术则是中国道路交通行业的“卡脖子”关键技术。文章在对国内外交通系统仿真技术进行深入分析的基础上，结合交通强国建设的总目标，对交通系统仿真技术的发展现状、问题与挑战进行系统梳理，对中国交通系统仿真技术则的未来发展趋势进行展望，总结了可变颗粒度的仿真、深度仿真、数字孪生和仿真即服务4个方向的重点发展趋势，提出构建自主可控、安全可信、高效可用的交通仿真系统的对策建议。

关键词: 交通仿真, 决策支持系统, 数字孪生, 多模式出行, 仿真优化

Abstract:

Traffic simulation is a crucial tool to assess, analyze, and optimize the complex traffic system. Traffic simulation system serves as the fundamental industrial software in the realm of the traffic and transportation industry. Traffic system simulation technology is the key stranglehold problem in China’s traffic and transportation industry. Based on the in-depth analysis of traffic system simulation technology in China and abroad and the overall goal of building a country with a strong transportation network, this paper systematically combs the development status, issues and challenges of traffic system simulation technology and looks forward to the development trend of traffic systems simulation technology in China. It also summarizes four key development directions: multi-resolution simulation, deep simulation, digital twin, and simulation as a service. Finally, the development strategy is proposed to build an autonomous, controllable, safe, credible, efficient, and available traffic simulation system.

Key words: traffic simulation, decision support system, digital twin, multi-modal transportation, simulation-based optimization

孙剑, 田野, 任刚. 交通系统仿真技术发展趋势与展望[J]. 前瞻科技, 2023, 2(3): 77-85.

SUN Jian, TIAN Ye, REN Gang. Development Trend and Prospect of Traffic System Simulation Technology[J]. Science and Technology Foresight, 2023, 2(3): 77-85.

图/表 3

参考文献 15

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交通系统仿真技术发展趋势与展望

Development Trend and Prospect of Traffic System Simulation Technology

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