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contributor authorJia Hu
contributor authorMichael D. Fontaine
contributor authorJiaqi Ma
date accessioned2017-12-30T13:01:31Z
date available2017-12-30T13:01:31Z
date issued2016
identifier other%28ASCE%29TE.1943-5436.0000815.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4244674
description abstractAccurate traffic state information is essential for both travelers and transportation agencies. In the past, traffic condition data were usually collected by a government agency using its own sensors. Recently, a number of private sector companies have started selling travel-time and speed data collected using probe vehicles, which provides a viable opportunity to outsource traffic data collection. Because these data sources and their related algorithms are proprietary, the reliability and accuracy of this private sector data is often an important issue for transportation agencies. Previous studies have examined the accuracy of private sector data on freeways, but arterials have not been examined extensively. Arterials represent a fundamentally more challenging environment for probe vehicle data given the larger variance in travel times created by traffic signals and other intermediate access points. In the research, the quality of private sector data on arterials is evaluated by utilizing Bluetooth travel-time data as the ground truth. The evaluation is conducted from two perspectives: the ability to track real-time conditions, and the ability to identify long-term traffic state changes. The study sites are three signalized arterials in the state of Virginia. The results indicate that the private sector data evaluated were not suitable for real-time applications, but could be used to measure long-term traffic state changes for performance measurement programs.
publisherAmerican Society of Civil Engineers
titleQuality of Private Sector Travel-Time Data on Arterials
typeJournal Paper
journal volume142
journal issue4
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/(ASCE)TE.1943-5436.0000815
page04016010
treeJournal of Transportation Engineering:;2016:;Volume ( 142 ):;issue: 004
contenttypeFulltext


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