Title
Characterization of Driving Behaviors Based on Field Observation of Intersection Left-Turn Across-Path Scenarios
Abstract
There have been significant research and developments in recent years for intersection-safety solutions that are intended to alert drivers of hazardous situations by utilizing sensing, computing, and communication technologies. Since the effectiveness of intersection-safety systems depends strongly on driver perception and acceptance of the provided warning signal, the understanding of driver actions under the targeted scenario is a central research topic. One significant safety concern at intersections is the left-turn crossing-path scenarios, where a left-turning vehicle is confronted by oncoming traffic. This paper describes the analysis and synthesis of real-world data for such scenarios observed in field observations. Specifically, traffic interactions in left-turn across-path situations are evaluated to compare data from various intersections with different operation and traffic attributes. The analyzed data were characterized to gain insight into a time gap acceptance exhibited by a population of drivers. The knowledge of driving behaviors can provide the guidelines for future investigation as well as a knowledge basis for the selection of warning criteria to allow timely alerts to drivers in the intended safety applications
Year
DOI
Venue
2006
10.1109/TITS.2006.880638
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
real-world data,driver perception,driver action,field observation,traffic interaction,central research topic,traffic attribute,intersection-safety solution,intended safety application,intersection left-turn across-path scenarios,oncoming traffic,intersection-safety system,injury prevention,ergonomics,human factors,communication technology,suicide prevention,behavior,decision support systems,occupational safety
Population,System safety,Field observation,Simulation,Human factors and ergonomics,Transport engineering,Decision support system,Behavioral analysis,Information and Communications Technology,Engineering,Perception
Journal
Volume
Issue
ISSN
7
3
1524-9050
Citations 
PageRank 
References 
15
1.52
0
Authors
1
Name
Order
Citations
PageRank
Ching-Yao Chan17923.48