DocumentCode
2070017
Title
Modeling vehicle merging behavior in urban expressway merging sections based on logistic model
Author
Jia, Hongfei ; Tan, Yunlong ; Yang, Lili
Author_Institution
Coll. of Transp., Jilin Univ., Changchun, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
656
Lastpage
659
Abstract
In order to represent vehicles merging behavior accurately in urban expressway merging sections, and overcome the shortcomings of existing models, firstly, a typical merging section in Guangzhou is selected to investigate field data, and the video processing software VEVID is used to get larger amounts of vehicle trajectory data. Then a lot of factors that affect vehicle merging behaviors are analyzed, and a logistic model that is applied to estimate the probabilities that driver will merge into adjacent gaps is built. Finally, the microscopic traffic simulation system MTSS is taken as simulation platform to build merging simulation model, the real merging section traffic data in Guangzhou is used to calibrate and validate the merging probability model, the output results from the simulation system are compared with field data, the satisfactory results indicates that the built merging simulation model can be used to describe the complex driver behaviors of merging sections.
Keywords
automated highways; maximum likelihood estimation; video signal processing; Guangzhou; MTSS; VEVID; logistic model; merging probability model; merging simulation model; microscopic traffic simulation system; urban expressway merging sections; vehicle merging behavior; vehicle trajectory data; video processing software; Analytical models; Data models; Lead; Merging; Microscopy; Traffic control; Vehicles; merging probability model; merging sections; model calibration; model validation;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199288
Filename
6199288
Link To Document