01365023

Component

https://doi.org/10.3141/2237-02

http://scholar.google.com...nier&publication_year=2011

Various indicators of objective conflict have been proposed in the literature to measure the severity of traffic events. Objective conflict indicators measure various spatial and temporal aspects of proximity on the premise that proximity is a surrogate for severity. These aspects of severity may be partially overlapping and in some cases independent. Two sets of conflict indicators were used in a study conducted to demonstrate that integration of the severity cues provided by each conflict indicator could be performed to reflect better the true, yet unobservable, severity of traffic events. The first set of conflict indicators required the presence of a collision course common to the interacting road users. The second set measured severity in mere temporal proximity between road users. The study proposes a methodology with which to aggregate the event-level measurements of conflict indicators into a safety index. First, individual conflict indicator measurements are mapped into severity intervals [0, 1]. Second, these severity indices are aggregated to a safety index that includes both individual severities and exposure. The methodology is applied on individual measurements of pedestrian–vehicle conflicts.

01365008

11-1339

English

pp 10-19

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222914

Print

Figures (2) ; References (20) ; Tables (6)

Crash exposure; Crash severity; Methodology; Pedestrian safety; Pedestrian vehicle interface; Traffic conflicts; Traffic safety

Surrogate safety measures

Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; I80: Accident Studies

TRIS, TRB

Mar 10 2012 8:29AM

• Accident Prediction Models for Winter Road Safety: Does Temporal Aggregation of Data Matter?
• Analysis of Crash Rates and Surrogate Events: Unified Approach
• Analysis of Speeding Behavior: Multilevel Modeling Approach
• Data-Mining Techniques for Exploratory Analysis of Pedestrian Crashes
• Effect of Arterial Signal Coordination on Safety
• Estimation of Real-Time Crash Risk: Are All Freeways Created Equal?
• Fully Bayesian Approach to Investigate and Evaluate Ranking Criteria for Black Spot Identification
• High-Resolution Detector and Signal Data to Support Crash Identification and Reconstruction
• Identifying Crash Distributions and Prone Locations by Lane Groups at Freeway Diverging Areas
• Improved Time-to-Collision Definition for Simulating Traffic Conflicts on Truck-Only Infrastructure
• Mining Microscopic Data of Vehicle Conflicts and Collisions to Investigate Collision Factors
• Modeling Highway Safety and Simulation in Rainy Weather
• Performance of Safety Indicators in Identification of Black Spots on Two-Lane Rural Roads
• Random Parameter Model Used to Explain Effects of Built-Environment Characteristics on Pedestrian Crash Frequency
• Surrogate Safety Measures for Optimizing Investments in Local Rural Road Networks
• U.S. National Household Travel Survey Used to Validate Exposure Estimates by the Quasi-Induced Exposure Technique