The Virginia Department of Transportation (VDOT) has invested in extensive closed circuit television (CCTV) systems to monitor freeways in urban areas. Generally, these devices are installed as part of freeway management systems (Smart Traffic Centers, STCs). While CCTVs have proven to be very effective in supporting incident management, they simply provide images that must be interpreted by trained operators. Recent studies completed by the University of Virginia (UVA) and the Virginia Transportation Research Council (VTRC) concluded, however, that it is feasible to integrate CCTV with video image vehicle detection systems (VIVDS), which are currently on the market, to provide the ability to measure traffic conditions. Given this positive result, it is advantageous to pursue other data collection applications of an integrated CCTV/VIVDS. The purpose of this project was to develop and field test a prototype CCTV/VIVDS integrated system (referred to as Phase III Autotrack) that adds the functionality of shoulder detection to the existing traffic data collection capabilities of the previous prototype (Phase II Autotrack). Shoulder detection allows STC operators to improve the safety and efficiency of the freeway system by rapidly responding to vehicles stopped or stalled on shoulders.
Phase III Autotrack: Integrated CCTV/VIVDS Prototype Field Test: System Refinement and Development of Shoulder Detection. Final Contract Report
2005
26 pages
Report
Keine Angabe
Englisch
Transportation & Traffic Planning , Road Transportation , Transportation , Information Systems , Photographic Techniques & Equipment , Transportation management systems , Traffic data collection , System refinement , Virginia , Shoulder detection , Intelligent transportation systems , Freeway management systems , Video image vehicle detection systems (VIVDS) , CCTV/VIVDS integrated systems , Closed circuit television (CCTV)
Integrated CCTV/VIVDS Prototype Field Test
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