Chinese Journal of Intelligent Science and Technology ›› 2019, Vol. 1 ›› Issue (1): 21-33.doi: 10.11959/j.issn.2096-6652.201908

• Papers • Previous Articles     Next Articles

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

Yisheng LV1,2,Yuanyuan CHEN1,2,Junchen JIN1,3,Zhenjiang LI1,2,Peijun YE1,2,Fenghua ZHU1,2()   

  1. 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)


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

CLC Number: 

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