Design of Virtual Dynamic Traffic Events for Driver Safety Awareness Training
Driver behavior is an important factor for traffic safety. Enhancing driver safety awareness is an efficient method to reduce traffic accidents. Instead of real vehicles, driving simulator can be employed to simulate dangerous traffic scenes for driver training. In this study, typical traffic scenes with dynamic events were designed. Dynamic events were divided into motion states to describe the behavior of event-participants. Based on vehicle dynamics characteristics, the event occurrence timing and event-participants' actions were calculated according to vehicle's real-time speed and position. As an example, the event of Pedestrian Crossing Street (PCS) was designed in the virtual traffic scene. A driver can drive in the virtual traffic scenes and experience dynamic dangerous events. This developed stimulation training can increase driver safety awareness and improve driver skills when facing dangerous traffic situations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411773
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Supplemental Notes:
- Copyright © 2011 ASCE
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Zhou, Ying
- Wu, Chaozhong
- Gao, Song
- Wang, Yu
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Conference:
- First International Conference on Transportation Information and Safety (ICTIS)
- Location: Wuhan , China
- Date: 2011-6-30 to 2011-7-2
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1912-1918
- Monograph Title: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation
Subject/Index Terms
- TRT Terms: Awareness; Driving simulators; Mathematical models; Pedestrian vehicle interface; Traffic safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I70: Traffic and Transport; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01480667
- Record Type: Publication
- ISBN: 9780784411773
- Files: TLIB, TRIS, ASCE
- Created Date: May 3 2013 8:55AM