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Title:

Behavior-based Method on Pedestrian-Vehicle Conflict Analysis at Intersections

Accession Number:

01555117

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Pedestrians are the most vulnerable road users, and pedestrian safety has become a major research concern in recent years. Collision statistics alone provide insufficient information for pedestrian safety study because of data quality and quantity issues. To address this problem, surrogate safety measures were developed for pedestrian conflict analysis. However, conflict situations between pedestrians and vehicles are complex due to various interactions, and most existing research focused on solo or combined conflict indicators and set corresponding fixed thresholds, which are incapable of capturing all interactions accurately. This paper presents a new method for analyzing pedestrian-vehicle conflicts based on road user trajectories. A behavior-based methodology has been developed which combines conflict indicators with interactions to capture conflicts and identify conflict severity. Pedestrian-vehicle interactions are then classified into three types according to behavior features and dynamic changes in conflict indicators. Conflict detection rules and binary logistic models were developed to identify conflict severity in related to each behavior type. The methodology was applied to analysis of conflicts between pedestrians and turning vehicles at an intersection crosswalk under both good and poor visibility for pedestrians. The analysis found a close relationship among visibility conditions, interaction types, and conflict severity levels. The calculations exhibited good conformity with observation results, and the methodology has proven capable of revealing greater detail about traffic events while capturing conflicts and identifying conflict severity with high accuracy. The proposed methodology is compatible with existing automated pedestrian conflict analysis systems. A combination with automated trajectory analysis is currently under research.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Pedestrians.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-3010

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ni, Ying
Wang, Menglong

Pagination:

14p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Uncontrolled Terms:

Subject Areas:

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-3010

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:00PM