Abstract
When using traditional traffic congestion recognition method to judge traffic congestion, there is a lack of accuracy. In view of the above problems, a fuzzy identification method of regional traffic congestion based on GPS is proposed. First, the GPS floating vehicle traffic information collection technology is used to collect the traffic information of the road network, and it is pretreated at the same time. Then the effective data and the electronic map are matched to determine the accurate position of the floating car on the road. Finally, a fuzzy comprehensive discriminant model based on the GPS data is set up, and the road traffic status is entered. The line is accurate. The results show that the accuracy of the method is 44% higher than that of the traditional traffic congestion recognition method, which basically achieves the purpose of this study. Experimental results are better, this article can bring guidance meaning to the future research.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gong, Lf. (2019). Research on Fuzzy Recognition Method of Regional Traffic Congestion Based on GPS. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_45
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DOI: https://doi.org/10.1007/978-3-030-36405-2_45
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