Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (2): 257-263.doi: 10.11896/jsjkx.200400008

• Artificial Intelligence • Previous Articles     Next Articles

Simulation Analysis on Dynamic Ridesharing Efficiency of Shared Autonomous Taxi

ZENG Wei-liang1,2,3, HAN Yu1, HE Jin-yuan1, WU Miao-sen1, SUN Wei-jun1   

  1. 1 School of Automation,Guangdong University of Technology,Guangzhou 510006,China
    2 School of Intelligent Systems Engineering,Sun Yat-sen University,Guangzhou 510275,China
    3 Guangdong Provincial Key Laboratory of Intelligent Transportation System,Guangzhou 510006,China
  • Received:2019-04-08 Revised:2019-09-29 Online:2021-02-15 Published:2021-02-04
  • About author:ZENG Wei-liang,born in 1986,Ph.D,associate professor.His main research interests include routing problem in complex network,traffic simulation and big data visualization for smart city.
    SUN Wei-jun,born in 1975 ,Ph.D,lecturer,is a member of China Computer Federation.His main research interests include internet of thing and machine learning.
  • Supported by:
    The National Natural Science Foundation of China (61803100,U1911401),Guangdong Provincial Key Laboratory of Intelligent Transportation System (202005003),Science and Technology Planning Project of Guangdong Province,China (2019B010121001,2019B010118001,2019B01019001),Industrial Internet Innovation and Development Project of MIIT (TC190A3X9-2-2) and National Key Research and Development Project (2018YFB1802400).

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Abstract: Shared autonomous taxi is one of the revolutionary intelligent transportation modes in the future,which will produce huge social and environmental benefits.The maximum number of rideshare is a key parameter affecting passengers' travel time,price,comfort and operating cost.However,previous researches rarely analyzed the maximum number of rideshare.To fill this gap,a dynamic autonomous taxi simulation system is developed.It consists of three models:searching,scheduling and waiting,and investigates how the maximum number of rideshare influences the system performance under the changing travel demand.The road network of the Nanshan district in Shenzhenis examined as a case study to evaluate the ridesharing efficiency in different settings of the maximum number of rideshare and the travel demand.The simulation results show that switching from traditional taxis to shared autonomous taxis can greatly increase the success rate of the serviced requests by 20% and reduce the total travel time by 3％～23%.Interestingly,the ridesharing efficiency converges gradually as the maximum number of rideshare increasing to a certain value.The ridesharing efficiency can be almost optimized when the maximum number of rideshare is set to 3 or 4 for the case of high travel demand.It can be concluded that multi passenger ridesharing can alleviate the current problem of struggle to hail a taxi,and as the travel demand increases,the shared autonomous taxis system has a stronger robustness compared with traditional non-shared taxi system.

Key words: Dynamic sharing, Intelligent transportation, Maximum number of rideshare, Ridesharing efficiency, Traffic simulation

CLC Number: 

  • TP391
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