Chinese Journal of Intelligent Science and Technology ›› 2021, Vol. 3 ›› Issue (2): 161-171.doi: 10.11959/j.issn.2096-6652.202116

• Special Topic: Intelligent Transportation Systems and Applications • Previous Articles     Next Articles

A survey of research on demand responsive transit and its route optimization

Shuai FENG1,2, Xiaoming LIU1   

  1. 1 School of Electrical and Control Engineering, North China University of Technology, Beijing 100043, China
    2 Beijing Public Transport Corporation, Beijing 100161, China
  • Revised:2021-04-06 Online:2021-06-15 Published:2021-06-01
  • Supported by:
    The National Key Research and Development Program of China(2018YFB1601003);The Natural Science Foundation of Beijing(8172018)

Abstract:

With the widespread application of new infrastructure and other technologies, demand responsive transit (DRT) is becoming the trend of urban traffic development in the future.In order to further clarify the research status of DRT at home and abroad, firstly, the classification of DRT and the operational production factors were analyzed.Secondly, the production process and operation practice of DRT mode were described.Thirdly, the DRT optimization problem was summarized and analyzed from the three dimensions including optimization objectives, constraint selection and solving algorithm, especially the meta heuristic algorithm.Finally, the prospect of DRT scenarios, model construction, algorithm solution, and the collaborative optimization were proposed.Several hotspots and possible directions of future research were suggested.

Key words: public transport, demand responsive transit, route optimization, solving algorithm

CLC Number: 

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