Empirical Studies on Road Traffic Response to Capacity Reduction
This paper uses empirical data collected on the street to provide insight into how real traffic systems are behaving. The data are fitted to statistical models and these statistical models show how traffic systems respond when the capacity of the system is reduced. This research follows on from the general interest in highway capacity. A great deal of effort has been spent on models (mathematical and computational) that simulate day-to-day behavior or road traffic. Many of these models include parameters that adjust how quickly users will respond by changing their behavior. This paper provides a starting point for the calibration of such models by careful statistical analysis of real-life data collected in the city of York in the United Kingdom. The data were collected to track real-life capacity-reducing events that occurred in the city.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780080453750
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Corporate Authors:
Elsevier
Linacre House, Jordan Hill
Oxford, United Kingdom OX2 8DP -
Authors:
- Clegg, Richard
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Conference:
- Transportation and Traffic Theory 2007. Papers Selected for Presentation at ISTTT17
- Location: London , England
- Date: 2007-7-23 to 2007-7-25
- Publication Date: 2007
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 155-178
- Monograph Title: Transportation and Traffic Theory 2007
Subject/Index Terms
- TRT Terms: Data collection; Empirical methods; Highway capacity; Highway operations; Highway traffic; Real time information; Traffic
- Uncontrolled Terms: Real world traffic
- Geographic Terms: York (England)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 01076695
- Record Type: Publication
- ISBN: 9780080453750
- Files: TRIS
- Created Date: Sep 21 2007 1:55PM