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Dec 14, 2023

Traffic States Division of Expressway Ultra-Short Weaving Segment Based on WSAGA-FCM Algorithm

ABSTRACT

In this paper, based on the survey of short weaving segment of Beijing Expressway, we propose the definition of ultra-short weaving segment and summarize its operation characteristics and lane change mode. The fuzzy C-mean clustering (FCM) algorithm is improved by using entropy weighting method to assign appropriate weights to parameters and genetic annealing algorithm to find the initial optimal clustering center, forming the weight simulated annealing genetic annealing-fuzzy C-mean clustering (WSAGA-FCM) algorithm. Considering the characteristics of ultra-short weaving segment, density and weaving ratio are selected as clustering indicators to classify the traffic states of an ultra-short weaving segment. The accuracy of the clustering result of the improved algorithm is increased to 98.81%, and the intra-class weighted distance is reduced to 43.14% of the original one. Finally, the traffic control strategies are proposed for the traffic states.

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Go to CICTP 2023
CICTP 2023
Pages: 290 - 300

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Published online: Dec 14, 2023

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1Dept. of Traffic Management Engineering, People’s Public Security Univ. of China, Beijing, China. Email: [email protected]
Fengchun Han [email protected]
2Professor, Dept. of Traffic Management Engineering, Public Security Univ. of China, Beijing, China. Email: [email protected]
Zhengtao Yang [email protected]
3Dept. of Traffic Management Engineering, People’s Public Security Univ. of China, Beijing, China. Email: [email protected]
Zeyou Zhang [email protected]
4Dept. of Traffic Management Engineering, People’s Public Security Univ. of China, Beijing, China. Email: [email protected]

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