Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (7): 22-27.doi: 10.16180/j.cnki.issn1007-7820.2022.07.004

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A Survey of Intelligent Transportation Path Planning Algorithms

LU Dongxiang   

  1. Yancheng Normal University,Yancheng 224002,China
  • Received:2021-03-15 Online:2022-07-15 Published:2022-08-16
  • Supported by:
    Major Natural Science Research Project in Colleges of Jiangsu(20KJA190001)


In order to solve problems such as traffic congestion, traffic safety and environmental pollution of urban roads, a variety of technologies including path planning algorithm and vehicle self-organizing network have gradually become important research directions in the field of intelligent transportation and attracted a lot of attention. In recent years, the application and popularization of intelligent transportation provide rich and diverse research topics for the research of path planning algorithm, and the research of path planning algorithm also effectively promotes the development of cutting-edge technology of intelligent transportation. By reviewing the research of multiple path planning algorithms, this study summarizes the existing problems in the research of path planning algorithms. On this basis, this study deeply studies and analyzes the advantages and disadvantages of static and dynamic path planning algorithms, and puts forward the future research trend and methods of path planning algorithms in intelligent transportation.

Key words: intelligent transportation, path planning, dynamic navigation, road network model, map matching, static constraints, vehicles category, dynamic programming

CLC Number: 

  • TP301.6