NDLI: Optimal decomposition of travel times measured by probe vehicles using a statistical traffic flow model

Content Provider	IEEE Xplore Digital Library
Author	Hofleitner, A. Bayen, A.
Copyright Year	2011
Description	Author affiliation: Electrical Engineering and Computer Sciences, Civil and Environmental Engineering, UC Berkeley (Bayen, A.) \|\| Electrical Engineering and Computer Science, UC Berkeley, CA and UPE/IFSTTAR/GRETTIA, France (Hofleitner, A.)
Abstract	Sparse location measurements of probe vehicles are a promising data source for arterial traffic monitoring. One common challenge in processing this source of data is that vehicles are sampled infrequently (on the order of once per minute), which means that many vehicles will travel several links of the network between consecutive measurements. In this article, we propose an optimal decomposition of path travel times of probe vehicles to link travel times for each link traversed. From a model of arterial traffic dynamics, we derive probability distributions of travel times. We prove that these distributions are mixtures of log-concave distributions and derive convex formulations of the travel time allocation problem. We validate our approach using detailed video camera data from the Next Generation Simulation project (NGSIM).
Starting Page	815
Ending Page	821
File Size	813463
Page Count	7
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6083050
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	Vehicles Delay Resource management Probes Vehicle dynamics Optimization Data models
Content Type	Text
Resource Type	Article

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