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
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;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.300