STOCHASTIC PROCESSES IN FREEWAY TRAFFIC PART II. INCIDENT DETECTION ALGORITHMS
Part I of this two-part series of papers addressed the problem of constructing stochastic process models for freeway traffic and examined the robustness of these models in providing short-term predictions of traffic state variables. In this part, an approach for the automatic detection of freeway traffic incidents (accidents, stalled vehicles, debris on the road, etc.) is presented based on the ARIMA (0,1,3) model described in Part I. Traffic incidents often result in full or partial lane blockage, and they occur most frequently during the peak periods when normal freeway capacity is already hard pressed. West found that the non-recurring congestion due to traffic incidents is responsible for as much motorist delay on urban freeways as is the recurring congestion due to geometric bottlenecks. Many freeway operating agencies, therefore have recognised the fact that incident management measures, if soundly based can permit greater traffic flows to be accommodated more safely on the existing freeway system with considerable savings in travel time to motorists.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00410683
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Corporate Authors:
Printerhall Limited
29 Newmart Street
London W1P 3PE, England -
Authors:
- Ahmed, S A
- Publication Date: 1983-6
Media Info
- Features: Figures; References;
- Pagination: 3 p.
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Serial:
- Traffic Engineering & Control
- Volume: 24
- Issue Number: 6-7
- Publisher: Hemming Group, Limited
- ISSN: 0041-0683
- Serial URL: http://www.tecmagazine.com/
Subject/Index Terms
- TRT Terms: Algorithms; Detection and identification; Detectors; Forecasting; Freeways; Highway traffic control; Peak hour traffic; Stochastic processes; Traffic congestion; Traffic delays; Traffic incidents; Traffic simulation
- Uncontrolled Terms: Incidents
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 00385138
- Record Type: Publication
- Source Agency: National Highway Traffic Safety Administration
- Report/Paper Numbers: HS-035 776
- Files: HSL, TRIS, USDOT
- Created Date: May 30 1984 12:00AM