Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (2): 524-530.doi: 10.13229/j.cnki.jdxbgxb20191044

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Adaptive D⁃S evidence theory map matching algorithm of complex road network

Zhi-jun TENG1,2(),Yu ZHANG2,Hao-tian LI2,Ming-yang SUN3   

  1. 1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology，Ministry of Education （Northeast Electric Power University），Jilin 132012，China
    2.School of Electrical Engineering，Northeast Electric Power University，Jilin 132012，China
    3.School of Automation Engineering，Northeast Electric Power University，Jilin 132012，China
  • Received:2019-11-13 Online:2021-03-01 Published:2021-02-09

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Abstract:

Aiming at the problems of fluctuations and low accuracy rate of traditional D-S evidence theory map matching algorithm in dealing with the urban dense road network， this paper proposes an improved dynamic matching algorithm based on D-S evidence theory. Using this algorithm， the candidate segment probability formula in the traditional D-S evidence theory is improved， and its weight parameters are adaptively adjusted for different road types. Simulation experiments show that the matching accuracy and matching time of the proposed algorithm are improved. The matching accuracy can be improved by about 2% compared with other algorithms， and the single-point matching time can be reduced by about 0.5 ms， which can efficiently and quickly realize the accurate matching of the positioning points of complex urban road networks.

Key words: highway transport, urban road network, D-S evidence theory, map matching, global position system

CLC Number: 

  • P208

Fig.1

Calculate shortest distance"

Fig.2

Multi-angle diagram of road direction and vehicle direction"

Fig.3

Flowchart of improved D-S evidence theory matching algorithm"

Fig.4

Analysis of weight parameters of parallel sections of urban road network"

Fig.5

Analysis of weight parameters of urban road network intersections"

Fig.6

Analysis of weight parameters of urban road network overpass section"

Fig.7

Different algorithm matching accuracy"

Fig.8

Single point matching time of each algorithm"

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