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Journal Article

Citation

Clegg R. Transp. Traffic Theory 2007; 17: 155-178.

Copyright

(Copyright © 2007, Publisher varies)

DOI

unavailable

PMID

unavailable

Abstract

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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