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)

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

CLC Number: 

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