Chapter
Apr 26, 2012
Vehicle-Pedestrian Interaction Analysis in Mixed Traffic Condition
Authors: Yingying Zhang [email protected], Danya Yao [email protected], Tony Z. Qiu [email protected], and Lihui Peng [email protected]Author Affiliations
Publication: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation
Abstract
The interaction between motor and non-motor traffic participators has been increasing dramatically. So far, traffic safety is always measured as the number and severities of traffic collisions which occur. Time to Collision (TTC) is one major parameter to reflect the possibility of such collisions. It can also be applied to the pedestrian involved analysis, but cannot reflect the pedestrian safety precisely. Therefore, time Difference to Collision (TDTC) is defined accordingly as a variation of TTC to describe the pedestrian-vehicle (P&V) interaction. One hundred groups of P&V interaction cases were collected. The comparison was made based on the cases between Vehicle-Pass-First (VPF) and Pedestrian-Pass-First (PPF) and among different safety scenes. The results show that the distance and speed values are obviously different from the cases between VPF and PPF, and the TDTC values are related to safety. It may provide some guidance to describe and analyze the driver-pedestrian interaction behavior. The participators' interaction behavior can be discussed further in the future.
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© 2011 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Ph.D. Candidate, Tsinghua University, Department of Automation, Room 3-423, FIT Building, Tsinghua University, Beijing, China, 100084.E-mail: [email protected]
Professor, Tsinghua University, Department of Automation, Room 3-427, FIT Building, Tsinghua University, Beijing, China, 100084.E-mail: [email protected]
Assistant Professor, University of Alberta, Department of Civil and Environmental Engineering, 3-005 NREF, Edmonton, Alberta Canada, T6G 2W2.E-mail: [email protected]
Professor, Tsinghua University, Department of Automation, Room 501, Main Building, Tsinghua University, Beijing, China, 100084.E-mail: [email protected]
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