SCENARIO PARSING IN TRANSIT BUS OPERATIONS FOR EXPERIMENTAL FRONTAL COLLISION WARNING SYSTEMS
The study reviews real world accident data to identify certain aspects of bus operating environment that are unique and significant. Experimental buses were equipped with sensors and data acquisition systems. The sensors used to capture obstacles in front of the bus include radar, lasor, and sensors for steering wheel angle, brake pressure, throttle position, and vehicle speed. A global positioning system was used to track the vehicle location, and video cameras were used to record images from several angles around the bus. The instrumented buses were operated on selected test routes to collect data used to dissect operating scenarios. The collection of data and the subsequent data dissection serve as the basis for threat assessment in various traffic conditions and algorithm design for collision warning systems.
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Supplemental Notes:
- Full conference proceedings available on CD-ROM.
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Corporate Authors:
Federal Transit Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Chan, C Y
- Wang, X Q
- Zhang, W B
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Conference:
- Technical Information on Transit IVI Projects
- Location: Las Vegas, Nevada
- Date: 2002-10-28 to 2002-10-29
- Publication Date: 2002
Language
- English
Media Info
- Pagination: 6p
Subject/Index Terms
- TRT Terms: Crash avoidance systems; Crash data; Data collection; Field studies; Global Positioning System; Instrumentation; Intelligent vehicles; Radar detectors; Sensors; Transit buses
- Identifier Terms: Intelligent Vehicle Initiative
- Uncontrolled Terms: Collision warning systems
- Subject Areas: Operations and Traffic Management; Public Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 00936270
- Record Type: Publication
- Files: TRIS, USDOT
- Created Date: Jan 3 2003 12:00AM