平行交通：虚实互动的智能交通管理与控制

doi:10.11959/j.issn.2096-6652.201908

智能科学与技术学报 ›› 2019, Vol. 1 ›› Issue (1): 21-33.doi: 10.11959/j.issn.2096-6652.201908

平行交通：虚实互动的智能交通管理与控制

吕宜生^1,²,陈圆圆^1,²,金峻臣^1,³,李镇江^1,²,叶佩军^1,²,朱凤华^1,²()

¹ 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
² 青岛市智能产业技术研究院，山东青岛 266109
³ 银江股份有限公司，浙江杭州 310030

修回日期:2019-02-20 出版日期:2019-03-20 发布日期:2019-05-28
作者简介:吕宜生（1983- ），男，山东蒙阴人，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员，主要研究方向为智能交通、人工智能、平行交通管理与控制系统。|陈圆圆（1989- ），男，河北沧州人，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室助理研究员，主要研究方向为交通数据分析、社会交通、平行交通管理与控制系统。|金峻臣（1991- ），男，浙江宁波人，博士，银江股份智慧交通研究院副院长，中国科学院自动化研究所复杂系统管理与控制国家重点实验室博士后，主要研究方向为人工智能、深度学习、平行交通管理与控制系统。|李镇江（1980- ），男，湖北五峰人，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室高级工程师，主要研究方向为分布式人工智能与多Agent系统、平行交通管理与控制系统。|叶佩军（1985- ），男，四川绵阳人，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室助理研究员，青岛市智能产业技术研究院专业技术工程师，主要研究方向为多Agent系统建模、交通行为分析与交通流优化、人工智能、分布式计算。|朱凤华（1976- ），男，山东聊城人，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员，主要研究方向为人工交通系统、平行交通管理系统。
基金资助:
国家重点研发计划基金资助项目(2018YFB1004803);国家自然科学基金资助项目(U1811463);国家自然科学基金资助项目(61603381)

Parallel transportation:virtual-real interaction for intelligent traffic management and control

Yisheng LV^1,²,Yuanyuan CHEN^1,²,Junchen JIN^1,³,Zhenjiang LI^1,²,Peijun YE^1,²,Fenghua ZHU^1,²()

¹ The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
² Qingdao Academy of Intelligent Industries,Qingdao 266109,China
³ Enjoyor Co.,Ltd.,Hangzhou 310030,China

Revised:2019-02-20 Online:2019-03-20 Published:2019-05-28
Supported by:
The National Key R＆D Program of China(2018YFB1004803);The National Natural Science Foundation of China(U1811463);The National Natural Science Foundation of China(61603381)

摘要/Abstract

摘要：

概述了平行交通系统的概念、框架、方法与应用。平行交通系统能够针对具体任务和特定场景构建对应的软件定义的人工交通系统，在此基础上，利用计算实验方法进行实验、分析、评估、预测、学习与优化，并借助平行执行实现对实际交通系统的管理与控制，实现虚实互动的平行智能。平行交通管理与控制是ACP理论的拓展应用，主要强调虚实互动的平行智能产生方式在城市交通管理与控制中的应用，以提高城市交通管理与控制的智能化水平。

关键词: 平行智能, ACP方法, 计算实验, 智能交通系统, 平行系统

Abstract:

The concept,architecture,methods and applications of parallel transportation systems were introduced.The main idea is to build software defined artificial transportation systems for specific traffic application tasks and scenarios;use computational experimental methods for experiments,analysis,evaluation,prediction,learning,and optimization;and parallel execution is conducted for management and control of urban transportation systems,leading to virtual-real interactive parallel intelligence.Parallel traffic management and control is an extension and application of ACP approach,which emphasizes using virtual-real interactive ways to generate parallel intelligence for urban transportation systems,towards improving the intelligence of urban traffic management and control.

Key words: parallel intelligence, ACP approach, computational experiments, intelligent transportation systems, parallel systems

中图分类号:

TP18
U491

吕宜生, 陈圆圆, 金峻臣, 等. 平行交通：虚实互动的智能交通管理与控制[J]. 智能科学与技术学报, 2019, 1(1): 21-33.

Yisheng LV, Yuanyuan CHEN, Junchen JIN, et al. Parallel transportation:virtual-real interaction for intelligent traffic management and control[J]. Chinese Journal of Intelligent Science and Technology, 2019, 1(1): 21-33.

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平行交通：虚实互动的智能交通管理与控制

Parallel transportation:virtual-real interaction for intelligent traffic management and control

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