Using Probe-Measured Travel Times to Detect Major Freeway Incidents in Houston, Texas

Author:

Balke Kevin1,Dudek Conrad L.2,Mountain Christopher E.3

Affiliation:

1. Texas Transportation Institute, College Station, Tex. 77843.

2. Department of Civil Engineering, Texas A&M University, College Station, Tex. 77843.

3. Texas Department of Transportation, P.O. Box 868, Littlefield, Tex. 79339.

Abstract

As a prelude to installing an automatic vehicle identification system for collecting traffic and travel time information from probe vehicles, the Texas Transportation Institute, in conjunction with the Texas Department of Transportation, initiated a pilot study to test the feasibility of using probe-provided travel time information to detect freeway incidents. As part of this pilot study, 200 commuters equipped with cellular telephones were used to collect travel time and incident information from three facilities [I-45 (both the main lanes and the high-occupancy-vehicle lane), the Hardy Toll Road, and US-59] on the north side of Houston, Texas. Historical travel time patterns were developed for each link using data from known incident-free conditions. The statistical principle of standard normal deviates was applied to 11 months of data to determine when a probe travel time exceeded the expected travel time under incident-free conditions. Whereas this approach resulted in detection rates that were lower and false alarm rates that were higher than those reportedly produced by other incident detection algorithms, this study illustrated that some level of incident detection could be achieved using travel time information provided by probe vehicles. Because of limitations in the data, it was not possible to determine the number of incidents that were not detected by the system or the detection times for the known incident conditions.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference10 articles.

1. RoperD. H. NCHRP Synthesis of Highway Practice 156: Freeway Incident Management. TRB, National Research Council, Washington, D.C., Dec. 1990, 29 pp.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3