DocumentCode
2122046
Title
Mobility Index-Based Navigation for Mandatory Re-Routing Scenarios
Author
Zhu, Weihua ; Boriboonsomsin, Kanok ; Barth, Matthew
Author_Institution
Electr. Eng. Dept., Univ. of California, Riverside, CA
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
581
Lastpage
586
Abstract
Roadway navigation systems have become increasingly popular, providing efficient routing through a roadway network. In most cases, routes are selected by minimizing some cost function, such as time or distance. However, a shortest-duration or shortest-distance route may not always work well due to unexpected roadway infrastructure conditions (e.g. unscheduled road shutdown) or major traffic problems, in which drivers will need to change routes on the fly. We refer to this as mandatory re-routing. There are several possible scenarios when mandatory re-routing is necessary, such as: 1) a major incident (i.e. accident) occurs, shutting down the roadway; 2) unscheduled emergency maintenance of the infrastructure; or 3) severe weather conditions. In many metropolitan roadway networks, traffic conditions are often very unpredictable. When roadways quickly become severely congested, drivers normally want to change their routes because the pre-defined route may no longer be optimal, i.e. the shortest-duration route may not guarantee minimal travel time and shortest-distance route may result in intolerable travel time. Re-routing capability is useful, but often real-time traffic information is delayed or non-existent. For these scenarios, it may be desirable to take a pre-defined route that gives the driver the highest degree of freedom (i.e. the path with the most routing choices) while traveling. In this paper, we describe a new routing methodology that is based on maximizing the routing choices while driving from a known location to a desired destination.
Keywords
automated highways; disasters; navigation; cost function; disaster situations; mandatory re-routing scenarios; metropolitan roadway networks; navigational mobility index; real-time traffic information; roadway navigation systems; shortest-distance route; shortest-duration route; Delay effects; Earthquakes; Environmental factors; Fuels; Intelligent transportation systems; Navigation; Real time systems; Road accidents; Routing; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2111-4
Electronic_ISBN
978-1-4244-2112-1
Type
conf
DOI
10.1109/ITSC.2008.4732658
Filename
4732658
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