Article(id=1241742237642576864, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, articleNumber=null, orderNo=null, doi=10.3981/j.issn.2097-0781.2023.03.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1681056000000, receivedDateStr=2023-04-10, revisedDate=1692288000000, revisedDateStr=2023-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1696867200000, onlineDateStr=2023-10-10, pubDate=1695139200000, pubDateStr=2023-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1696867200000, onlineIssueDateStr=2023-10-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773984019906, creator=sys-migrate, updateTime=1773984019906, updator=sys-migrate, issue=Issue{id=1241742062018687952, tenantId=1146029695717560320, journalId=1146032081894723586, year='2023', volume='2', issue='3', pageStart='106', pageEnd='119', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=1, createTime=1773983978031, creator=sys-migrate, updateTime=1776075155375, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1250513095551042081, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, language=EN, specialIssueTitle=Special Issue on Road Traffic Engineering, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null), CN=IssueExt(id=1250513095555236386, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241742062018687952, language=CN, specialIssueTitle=道路交通工程专刊, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null)}, issueFiles=null}, startPage=77, endPage=85, ext={EN=ArticleExt(id=1241742240029135842, articleId=1241742237642576864, tenantId=1146029695717560320, journalId=1146032081894723586, language=EN, title=Development Trend and Prospect of Traffic System Simulation Technology, columnId=1149656489310208610, journalTitle=Science and Technology Foresight, columnName=Review and Commentary, runingTitle=null, highlight=null, articleAbstract=

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.

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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。

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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:

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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:

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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:

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Development Trend and Prospect of Traffic System Simulation Technology
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Jian SUN 1, , Ye TIAN 1 , Gang REN 2
Science and Technology Foresight | Review and Commentary 2023,2(3): 77-85
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Science and Technology Foresight | Review and Commentary 2023, 2(3): 77-85
Development Trend and Prospect of Traffic System Simulation Technology
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Jian SUN1, , Ye TIAN1, Gang REN2
Authors
  • 1. College of Transportation Engineering, Tongji University, Shanghai 201804, China
  • 2. School of Transportation, Southeast University, Nanjing 211189, China

Corresponding author:

Development Trend and Prospect of Traffic System Simulation Technology
Jian SUN1, , Ye TIAN1, Gang REN2
Affiliations
  • 1. College of Transportation Engineering, Tongji University, Shanghai 201804, China
  • 2. School of Transportation, Southeast University, Nanjing 211189, China
Published: 2023-09-20 doi: 10.3981/j.issn.2097-0781.2023.03.007
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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.

traffic simulation  /  decision support system  /  digital twin  /  multi-modal transportation  /  simulation-based optimization

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.

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) : 106 -119 . DOI: 10.3981/j.issn.2097-0781.2023.03.007
Jian SUN, Ye TIAN, Gang REN. Development Trend and Prospect of Traffic System Simulation Technology[J]. Science and Technology Foresight, 2023 , 2 (3) : 106 -119 . DOI: 10.3981/j.issn.2097-0781.2023.03.007
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doi: 10.3981/j.issn.2097-0781.2023.03.007
  • Received:2023-04-10
  • Published:2023-09-20
  • Release:2023-10-10
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  • 收稿日期:2023-04-10
  • 修回日期:2023-08-18
基金
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)
Authors
    1. College of Transportation Engineering, Tongji University, Shanghai 201804, China
    2. School of Transportation, Southeast University, Nanjing 211189, China

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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) : 106 -119 . DOI: 10.3981/j.issn.2097-0781.2023.03.007
Jian SUN, Ye TIAN, Gang REN. Development Trend and Prospect of Traffic System Simulation Technology[J]. Science and Technology Foresight, 2023 , 2 (3) : 106 -119 . DOI: 10.3981/j.issn.2097-0781.2023.03.007
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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