Random supply and strategic behaviour in static traffic assignment.

Author(s)
Bellei, G. & Gentile, G.
Year
Abstract

In this study the modelling framework of static traffic assignment is extended to the case where random arc costs are jointly distributed, although implicitly through a local correlation structure at nodes. The resulting network loading problem is then solved through a Monte Carlo simulation a teach node processed in topological order. This way of reproducing the day-by-day randomness of transport supply makes it possible to highlight the role of en-route information to drivers, who are intended to make adaptive choices. The two limit situations where maximum level of information is supplied by a route guidance system and minimum level is self-obtained are considered. For the covering abstract see ITRD E144727. Reprinted with permission of Elsevier

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Publication

Library number
C 48410 (In: C 48400) /71 /72 / ITRD E144890
Source

In: Transportation and traffic theory 2007 : papers selected for presentation at the 17th International Symposium on Transportation and Traffic Theory (ISTTT17), held at the Institution of Mechanical Engineers, London, UK from July 23 - 25, 2007, p. 213-234, 13 ref.

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