Measuring Traffic
| dc.creator | Bickel, Peter J. | |
| dc.creator | Chen, Chao | |
| dc.creator | Kwon, Jaimyoung | |
| dc.creator | Rice, John | |
| dc.creator | van Zwet, Erik | |
| dc.creator | Varaiya, Pravin | |
| dc.date | 2008-04-18 | |
| dc.date.accessioned | 2026-07-07T12:18:24Z | |
| dc.date.available | 2026-07-07T12:18:24Z | |
| dc.description | 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. | |
| dc.description | Published in at http://dx.doi.org/10.1214/07-STS238 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0804.2982 | |
| dc.identifier | http://arxiv.org/abs/0804.2982 | |
| dc.identifier | Statistical Science 2007, Vol. 22, No. 4, 581-597 | |
| dc.identifier | doi:10.1214/07-STS238 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/212400 | |
| dc.subject | Methodology | |
| dc.title | Measuring Traffic | |
| dc.type | text |