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.
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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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Yu, Xj., Xu, J., Zhang, F. (2020). A Bayesian Recognition Method for Highway Ambiguity Path Identification Based on Digraph. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_3
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DOI: https://doi.org/10.1007/978-981-15-0644-4_3
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