Interdisciplinary Information Sciences
Online ISSN : 1347-6157
Print ISSN : 1340-9050
ISSN-L : 1340-9050
Special Section: Nowcast and Forecast of Road Traffic by Data Fusion of Various Sensing Data
Traffic Measurements on Signalized Arterials from Vehicle Trajectories
Kentaro WADATakeshi OHATAKeiko KOBAYASHIMasao KUWAHARA
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ジャーナル フリー

2015 年 21 巻 1 号 p. 77-85

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Probe data provide rich information of vehicle trajectories which include driving modes (e.g., acceleration/deceleration) and reflect traffic conditions. However, most of the applications only use probe data to measure travel times. This paper presents two alternative applications of vehicle trajectories on signalized arterials: one is a traffic signal timing estimation and the other is a traffic volume estimation. Both applications are based on a simple methodology that combines vehicle trajectories and traffic engineering concept shock wave. By testing the methodology using real world data, we demonstrate that probe data have more potential for traffic measurements.
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© 2015 by the Graduate School of Information Sciences (GSIS), Tohoku University

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
https://creativecommons.org/licenses/by/4.0/
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