DocumentCode
633650
Title
Study on Decision Model of Right-Turning Vehicle Accept the Gap of Straight-Going Bicycles Based on Photogrammetry
Author
Wang Ying ; Zhang Xing-qiang ; Hu Qing-hua ; Wang Shen
Author_Institution
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
fYear
2013
fDate
29-30 June 2013
Firstpage
1265
Lastpage
1267
Abstract
Firstly, in this paper, the gap is quantized by the distance and the parameters of mixed traffic flow, e.g. acceleration, velocity, density and space headway, are collected by the photogrammetry. Seconondly based on the dominant factor analysis of right-turning vehicle accepts the gap, the logistic regression model of the right-turning motor vehicle navigating the gap of straight-going bicycles is built. Lastly, the model is tested and proved effective.
Keywords
bicycles; decision theory; logistics; photogrammetry; regression analysis; road traffic; road vehicles; decision model; dominant factor analysis; logistic regression model; mixed traffic flow; photogrammetry; right-turning motor vehicle; right-turning vehicle; straight-going bicycles; Bicycles; Computational modeling; Logistics; Mathematical model; Navigation; Vehicle-bicycle interference; gap; logistic regression model; mixed traffic flow; photogrammetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ICDMA.2013.300
Filename
6598224
Link To Document