NDLI: Fastest path analysis in a vehicle-to-infrastructure intelligent transportation system architecture

Content Provider	IEEE Xplore Digital Library
Author	Miller, J.
Copyright Year	2009
Description	Author affiliation: Department of Computer Systems Engineering, University of Alaska, Anchorage, USA (Miller, J.)
Abstract	In this paper, I perform an analysis of the time to traverse shortest paths compared to the time to traverse fastest paths as determined from a vehicle-to-infrastructure (V2I) architecture. Vehicle tracking devices have been installed in 15 vehicles that frequent the University of Alaska, Anchorage on a daily basis. This data has been fed into FreeSim (http://www. freewaysimulator.com) to determine the fastest path from the university to a location on the other side of the city. Two different vehicles traversed the fastest path and shortest path, respectively, each day of the week to determine the actual amount of time to traverse the paths. Although the fastest path did prove to be faster the majority of the time, there were some days for which the shortest path was ultimately faster than the calculated fastest path. I provide an analysis of these paths and analyze reasons as to why this may be the case.
Starting Page	1125
Ending Page	1130
File Size	1528663
Page Count	6
File Format	PDF
ISBN	9781424435036
ISSN	19310587
DOI	10.1109/IVS.2009.5164440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent transportation systems Intelligent vehicles Computer architecture Cities and towns Testing Performance analysis Detectors Data analysis Automotive engineering Systems engineering and theory
Content Type	Text
Resource Type	Article

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