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Title: Outsourced probe data effectiveness on signalized arterials

Abstract

This paper presents results of an I-95 Corridor Coalition sponsored project to assess the ability of outsourced vehicle probe data to provide accurate travel time on signalized roadways for the purposes of real-time operations as well as performance measures. The quality of outsourced probe data on freeways has led many departments of transportation to consider such data for arterial performance monitoring. From April 2013 through June of 2014, the University of Maryland Center for Advanced Transportation Technology gathered travel times from several arterial corridors within the mid-Atlantic region using Bluetooth traffic monitoring (BTM) equipment, and compared these travel times with the data reported to the I95 Vehicle Probe Project (VPP) from an outsourced probe data vendor. The analysis consisted of several methodologies: (1) a traditional analysis that used precision and bias speed metrics; (2) a slowdown analysis that quantified the percentage of significant traffic disruptions accurately captured in the VPP data; (3) a sampled distribution method that uses overlay methods to enhance and analyze recurring congestion patterns. (4) Last, the BTM and VPP data from each 24-hour period of data collection were reviewed by the research team to assess the extent to which VPP captured the nature of the trafficmore » flow. Based on the analysis, probe data is recommended only on arterial roadways with signal densities (measured in signals per mile) up to one, and it should be tested and used with caution for signal densities between one and two, and is not recommended when signal density exceeds two.« less

Authors:
 [1];  [2];  [1];  [1];  [1];  [1]
  1. Center for Advanced Transportation Technology, University of Maryland, College Park, MD, USA
  2. National Renewable Energy Lab, Golden, CO, USA
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1432190
Report Number(s):
NREL/JA-5400-71266
Journal ID: ISSN 1547-2450
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Journal of Intelligent Transportation Systems
Additional Journal Information:
Journal Volume: 21; Journal Issue: 6; Journal ID: ISSN 1547-2450
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; arterial; interrupted flow roadways; outsourced probe data; slowdown analysis; sampled distribution method; travel time

Citation Formats

Sharifi, Elham, Young, Stanley Ernest, Eshragh, Sepideh, Hamedi, Masoud, Juster, Reuben M., and Kaushik, Kartik. Outsourced probe data effectiveness on signalized arterials. United States: N. p., 2017. Web. doi:10.1080/15472450.2017.1359093.
Sharifi, Elham, Young, Stanley Ernest, Eshragh, Sepideh, Hamedi, Masoud, Juster, Reuben M., & Kaushik, Kartik. Outsourced probe data effectiveness on signalized arterials. United States. doi:10.1080/15472450.2017.1359093.
Sharifi, Elham, Young, Stanley Ernest, Eshragh, Sepideh, Hamedi, Masoud, Juster, Reuben M., and Kaushik, Kartik. Tue . "Outsourced probe data effectiveness on signalized arterials". United States. doi:10.1080/15472450.2017.1359093.
@article{osti_1432190,
title = {Outsourced probe data effectiveness on signalized arterials},
author = {Sharifi, Elham and Young, Stanley Ernest and Eshragh, Sepideh and Hamedi, Masoud and Juster, Reuben M. and Kaushik, Kartik},
abstractNote = {This paper presents results of an I-95 Corridor Coalition sponsored project to assess the ability of outsourced vehicle probe data to provide accurate travel time on signalized roadways for the purposes of real-time operations as well as performance measures. The quality of outsourced probe data on freeways has led many departments of transportation to consider such data for arterial performance monitoring. From April 2013 through June of 2014, the University of Maryland Center for Advanced Transportation Technology gathered travel times from several arterial corridors within the mid-Atlantic region using Bluetooth traffic monitoring (BTM) equipment, and compared these travel times with the data reported to the I95 Vehicle Probe Project (VPP) from an outsourced probe data vendor. The analysis consisted of several methodologies: (1) a traditional analysis that used precision and bias speed metrics; (2) a slowdown analysis that quantified the percentage of significant traffic disruptions accurately captured in the VPP data; (3) a sampled distribution method that uses overlay methods to enhance and analyze recurring congestion patterns. (4) Last, the BTM and VPP data from each 24-hour period of data collection were reviewed by the research team to assess the extent to which VPP captured the nature of the traffic flow. Based on the analysis, probe data is recommended only on arterial roadways with signal densities (measured in signals per mile) up to one, and it should be tested and used with caution for signal densities between one and two, and is not recommended when signal density exceeds two.},
doi = {10.1080/15472450.2017.1359093},
journal = {Journal of Intelligent Transportation Systems},
issn = {1547-2450},
number = 6,
volume = 21,
place = {United States},
year = {2017},
month = {6}
}

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