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Improving the drivers\u2019 lane selection process is not only the most fundamental reason for transforming vehicle aggregating but also the basic component of traffic flow research. However, the effects of factors such as the characteristics of individual vehicles and drivers, the types of manipulators used in complex vehicle aggregation situations, and the influence of vehicle conflict on lane selection have not been addressed in previous studies. This paper assesses the characteristics of various traffic manipulators, vehicles, and drivers to develop a lane selection model of basic urban expressway segments based on mixed fuzzy many-person, multi-objective, non-cooperative games. By analyzing drivers\u2019 profits under different combinations of lane selection behavior, Nash equilibrium was confirmed in a single game process and optimal lane selection behavior was obtained in a dynamic game. The results show that the model\u2019s prediction accuracy of lane changing is 85.2%.<\/jats:p>","DOI":"10.3233\/jifs-16628","type":"journal-article","created":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T14:43:07Z","timestamp":1495809787000},"page":"4235-4246","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["The drivers\u2019 lane selection model based\u00a0on\u00a0mixed fuzzy many-person multi-objective non-cooperative game"],"prefix":"10.1177","volume":"32","author":[{"given":"Xiaoyuan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"},{"name":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"}]},{"given":"Jinglei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Yaqi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Wang","family":"Yunyun","sequence":"additional","affiliation":[{"name":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Fang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Jingheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Shandong Zibo Experimental High School, Zibo, China"}]}],"member":"179","published-online":{"date-parts":[[2017,5,23]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Administration F H US-101-Main-Data http:\/\/ngsim.fhwa.dot.gov MI Office Access Help. 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