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A Bayesian Recognition Method for Highway Ambiguity Path Identification Based on Digraph

  • Xu-jin Yu
  • Jun Xu
  • Fan ZhangEmail author
Conference paper
  • 18 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)

Abstract

With the rapid development of the highway, the layout of road network is gradually transformed from the tree structure to the reticular structure. In order to develop a fair charging strategy, it is necessary to split the route of vehicles accurately. In this paper, a directed graph based method for ambiguous path of highway identification with Bayesian recognition algorithm is studied. Firstly, the highway network should be modeled into a digraph structure, and the 5.8G identification point or video image identification point would be mapped to the directed graph. Then a Bayesian recognition algorithm would be used to determine the actual path of the vehicle. The algorithm uses a two-stage structure, which could provide a rapid calculation at the exit lane. The method has been applied in the highway of Jiangxi Province and has achieved valuable results.

Keywords

Intelligent transportation Ambiguous path identification Directed graph Bayesian 

Notes

Acknowledgements

The authors would like to thank the project of “The key technology of the data analysis for the fresh agricultural products vehicles credit audit”.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Jiangxi Provincial Highway Network Management CenterNanchangChina
  2. 2.Research Institute of Highway, MOTBeijingChina
  3. 3.Beijing GOTEC ITS Technology Co., Ltd.BeijingChina

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