Chapter
Jun 29, 2016
Risk Factor Analysis of Vehicle-to-Vulnerable-Road-User Crashes at Signalized Intersections
Authors: Xingshan Li [email protected], Xin Pei [email protected], Zuo Zhang [email protected], and Huiqiang Zhang [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
This study focused on vulnerable road user crashes induced by mixed traffic at signalized intersections in China. Data on various possible risk factors including road design, signal control, and weather conditions were collected and analyzed accordingly. A count data model was adopted for crash frequency analysis with random matched resampling database to remove the effects of excess zeros on prediction performance. The results indicate that more accurate and reliable parameter estimates and reduced standard errors can be obtained with the random matched resampling method. As results, cycle time of signal, separated right-turn lane (SRL), left-turn waiting area (LWA), and awnings are all significantly related to the risk of vehicle-to-vulnerable road user crashes. This helps to shed light on the development of remedial engineering and traffic management and control measures.
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© 2016 American Society of Civil Engineers.
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Published online: Jun 29, 2016
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Dept. of Automation, Tsinghua Univ., Beijing 100084, China; Air Defense Forces Academy, Zhengzhou 450052, China. E-mail: [email protected]
Dept. of Automation, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
Dept. of Automation, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
Dept. of Automation, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
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