Open Access
November 2007 Measuring Traffic
Peter J. Bickel, Chao Chen, Jaimyoung Kwon, John Rice, Erik van Zwet, Pravin Varaiya
Statist. Sci. 22(4): 581-597 (November 2007). DOI: 10.1214/07-STS238

Abstract

A traffic performance measurement system, PeMS, currently functions as a statewide repository for traffic data gathered by thousands of automatic sensors. It has integrated data collection, processing and communications infrastructure with data storage and analytical tools. In this paper, we discuss statistical issues that have emerged as we attempt to process a data stream of 2 GB per day of wildly varying quality. In particular, we focus on detecting sensor malfunction, imputation of missing or bad data, estimation of velocity and forecasting of travel times on freeway networks.

Citation

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Peter J. Bickel. Chao Chen. Jaimyoung Kwon. John Rice. Erik van Zwet. Pravin Varaiya. "Measuring Traffic." Statist. Sci. 22 (4) 581 - 597, November 2007. https://doi.org/10.1214/07-STS238

Information

Published: November 2007
First available in Project Euclid: 7 April 2008

zbMATH: 1246.62227
MathSciNet: MR2420463
Digital Object Identifier: 10.1214/07-STS238

Keywords: ATIS , freeway loop data , malfunction detection , speed estimation

Rights: Copyright © 2007 Institute of Mathematical Statistics

Vol.22 • No. 4 • November 2007
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