NDLI: Transportation reliability based on information theory

Content Provider	IEEE Xplore Digital Library
Author	Shlayan, N. Kachroo, P. Wadoo, S.
Copyright Year	2011
Description	Author affiliation: Faculty of Electrical Engineering, New york Institute of Technology, Old Westbury, NY 11568, USA (Wadoo, S.) \|\| Faculty of Electrical Engineering, University of Nevada, Las Vegas, NV 89154, USA (Kachroo, P.) \|\| Department of Electrical and Computer Engineering and Mathematics, University of Nevada, Las Vegas, NV 89154, USA (Shlayan, N.)
Abstract	In this study, a novel travel time reliability measure is proposed that is developed based on entropy from information theory. The authors present the classical methods of measuring travel time reliability. Classical reliability measures rely fundamentally on the statistical standard deviation quantity. However, entropy is a direct tool to measure the uncertainty present in any random variable. The quantity of entropy not only contains the standard deviation but also all other moments. Based on this, the authors constructed a novel travel time reliability measure that can be applied to any random variable regardless of its distributional characteristics. The authors then demonstrate the use of the proposed novel travel time reliability measure by applying it to travel time data obtained from stationary detectors. Furthermore, the authors extended this work to demonstrate measuring the reliability of networked roadway segments. In this study it is found that the algebraic structure of the travel time reliability of a network is consistent with the semi-ring min-max algebraic structure. This provides us with well established properties that can simplify the algebra over networks' reliability.
Starting Page	1415
Ending Page	1420
File Size	619105
Page Count	6
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6083067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Reliability theory Time measurement Random variables Information theory Uncertainty
Content Type	Text
Resource Type	Article

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