Developing evasive action‐based indicators for identifying pedestrian conflicts in less organized traffic environments. Issue 6 (October 2016)

• Record Type: Journal Article
• Authors: Tageldin, Ahmed; Sayed, Tarek
• Is Part Of: Journal of advanced transportation. Volume 50:Issue 6(2016)
• Page Start: 1193
• Page End: 1208
• Publication Date: 2016-10
• Subjects: pedestrian conflicts -- severity measures -- gait variation -- less organized traffic; Transportation -- Periodicals; 388.05
• DOI: 10.1002/atr.1397
• Languages: English
• ISSNs: 0197-6729

Abstract

Summary: There has been a growing interest in using surrogate safety measures such as traffic conflicts to analyse road safety from a broader perspective than collision data alone. This growing interest has been aided by recent advances in automated video‐based traffic conflict analysis. The automation enables accurate calculation of various conflict indicators such as time‐to‐collision and post‐encroachment time. These indicators rely on road users getting within specific temporal and spatial proximity from each other and therefore assume that proximity is a surrogate for conflict severity. However, this assumption may not be valid in many driving environments where close interactions between road users are common. The objective of this paper is to investigate the applicability of time proximity conflict indicators for evaluating pedestrian safety in less‐organized traffic environments with a high mix of road users. Several alternative behavioural conflict indicators based on detecting pedestrian evasive actions are recommended to better measure traffic conflicts in such traffic environments. These indicators represent variations in the spatio‐temporal gait parameters (step length, step frequency and walk ratio) immediately before the conflict point. A highly congested shared intersection in Shanghai, China, with frequent pedestrian conflicts is used as a case study. Traffic conflicts are analysed with the use of automated video‐based analysis techniques. The results showed that evasive action‐based indicators have higher potential to identify pedestrian conflicts and measure their severity in high mix less organized traffic environments than time proximity measures such as time‐to‐collision and post‐encroachment time. Copyright © 2016 John Wiley & Sons, Ltd.