Research Article
Research on Fuzzy Recognition Method of Regional Traffic Congestion Based on GPS
@INPROCEEDINGS{10.1007/978-3-030-36405-2_45, author={Lan-fang Gong}, title={Research on Fuzzy Recognition Method of Regional Traffic Congestion Based on GPS}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Big data Cable tunnel Leakage signal Positioning method}, doi={10.1007/978-3-030-36405-2_45} }- Lan-fang Gong
Year: 2019
Research on Fuzzy Recognition Method of Regional Traffic Congestion Based on GPS
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_45
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.
