Spatially Referenced Probe Data Performance Measures for Infrastructure Investment Decision Makers

被引:17
作者
Remias, Stephen M. [1 ]
Brennan, Thomas M. [2 ]
Day, Christopher M. [1 ]
Summers, Hayley T. [1 ]
Horton, Deborah K. [1 ]
Cox, Edward D. [3 ]
Bullock, Darcy M. [1 ]
机构
[1] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47901 USA
[2] Coll New Jersey, Dept Civil Engn, Ewing Township, NJ 08628 USA
[3] Indianapolis Traff Management Ctr, Indiana Dept Transportat, Indianapolis, IN 46219 USA
关键词
Decision making - Probes - Traffic congestion;
D O I
10.3141/2420-04
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Moving Ahead for Progress in the 21st Century, the recently enacted highway bill, challenges transportation professionals to develop a comprehensive set of performance measures for managing most aspects of the transportation system. Historically, performance metrics have been created on an agency-by-agency basis with little consistency between data collection frequency and quality. In recent years, crowdsourced data have become a high-fidelity data source that could be used to develop spatially oriented performance measures that could scale nationwide. This paper summarizes the rapidly evolving literature on probe vehicle data and proposes a series of performance measures to characterize the temporal and spatial aspects of congestion in a graphical manner that decision makers may use to evaluate the impact of past investments and prioritize future investments. The I-80-I-94 corridor in northwest Indiana, near Chicago, Illinois, is used to present the methodologies. The paper concludes with a discussion of how these techniques can be extended on a national scale to characterize corridors such as I-80 from New York to California.
引用
收藏
页码:33 / 44
页数:12
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