Title
Link travel time prediction for decentralized route guidance architectures
Abstract
A critical problem in decentralized route guidance is to communicate anticipated congestion to individual drivers in such a way that the routes chosen are likely to be consistent with the forecast. We propose a prediction technique for decentralized route guidance architectures to identify time-dependent link travel times which when communicated to drivers leads to time-dependent fastest paths consistent with this forecast. The fixed-point property of the forecast is assured by an iterative process of traffic simulations followed by dynamic route determinations until the routes and hence the resulting dynamic link times become stable. The resulting routes yield an inherently accurate forecast of congestion as well as being user-optimal by construction. A back-dating process is utilized to insure the discovery of a stable routing after a finite and usually small number of iterations, An empirical case study based on the roadway network in Troy, MI is included
Year
DOI
Venue
2000
10.1109/6979.869017
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
automated highways,digital simulation,driver information systems,iterative methods,Troy,anticipated congestion,back-dating process,decentralized route guidance architectures,dynamic link times,dynamic route determinations,fixed-point property,link travel time prediction,stable routing,traffic simulations
Small number,Information system,Decentralised system,Iterative and incremental development,Iterative method,Simulation,Engineering,Travel time,Minimum time,Fixed-point theorem
Journal
Volume
Issue
ISSN
1
1
1524-9050
Citations 
PageRank 
References 
21
3.65
1
Authors
3
Name
Order
Citations
PageRank
Wunderlich, K.E.1213.65
Kaufman, D.E.2213.65
Robert L. Smith3664123.86