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Title: Cross-Vendor and Cross-State Analysis of GPS Probe Data Latency

Abstract

Crowd sourced GPS probe data have become a major source of real-time traffic information applications. In addition to traditional traveler advisory systems such as dynamic message signs (DMS) and 511 systems, probe data are being used for automatic incident detection, integrated corridor management (ICM), end of queue warning systems, and mobility-related smartphone applications. Several private sector vendors offer minute by minute network-wide travel time and speed probe data. The quality of such data in terms of deviation of the reported travel time and speeds from ground-truth has been extensively studied in recent years, and as a result concerns over the accuracy of probe data have mostly faded away. However, the latency of probe data - defined as the lag between the time at which disturbance in traffic speed is reported in the outsourced data feed, and the time at which the traffic is perturbed - has become a subject of interest. The extent of latency of probe data for real-time applications is critical, so it is important to have a good understanding of the amount of latency and its influencing factors. This paper uses high-quality independent Bluetooth/Wi-Fi re-identification data collected on multiple freeway segments in three different states, to measuremore » the latency of the vehicle probe data provided by three major vendors. The statistical distribution of the latency and its sensitivity to speed slowdown and recovery periods are discussed.« less

Authors:
 [1];  [2];  [2];  [3]
  1. Department of Civil &, Environmental Engineering, University of Maryland, MD
  2. Center for Advanced Transportation Technology, University of Maryland, College Park, MD
  3. Advanced Transportation and Urban Scientist, National Renewable Energy Laboratory, CO
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:
1475135
Report Number(s):
NREL/JA-5400-72506
Journal ID: ISSN 0361-1981
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Volume: 2672; Journal Issue: 42; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; advanced traveler information systems; electronic data interchange; probes; travel time; variable message signs

Citation Formats

Wang, Zhongxiang, Hamedi, Masoud, Sharifi, Elham, and Young, Stanley. Cross-Vendor and Cross-State Analysis of GPS Probe Data Latency. United States: N. p., 2018. Web. doi:10.1177/0361198118792768.
Wang, Zhongxiang, Hamedi, Masoud, Sharifi, Elham, & Young, Stanley. Cross-Vendor and Cross-State Analysis of GPS Probe Data Latency. United States. doi:10.1177/0361198118792768.
Wang, Zhongxiang, Hamedi, Masoud, Sharifi, Elham, and Young, Stanley. Mon . "Cross-Vendor and Cross-State Analysis of GPS Probe Data Latency". United States. doi:10.1177/0361198118792768.
@article{osti_1475135,
title = {Cross-Vendor and Cross-State Analysis of GPS Probe Data Latency},
author = {Wang, Zhongxiang and Hamedi, Masoud and Sharifi, Elham and Young, Stanley},
abstractNote = {Crowd sourced GPS probe data have become a major source of real-time traffic information applications. In addition to traditional traveler advisory systems such as dynamic message signs (DMS) and 511 systems, probe data are being used for automatic incident detection, integrated corridor management (ICM), end of queue warning systems, and mobility-related smartphone applications. Several private sector vendors offer minute by minute network-wide travel time and speed probe data. The quality of such data in terms of deviation of the reported travel time and speeds from ground-truth has been extensively studied in recent years, and as a result concerns over the accuracy of probe data have mostly faded away. However, the latency of probe data - defined as the lag between the time at which disturbance in traffic speed is reported in the outsourced data feed, and the time at which the traffic is perturbed - has become a subject of interest. The extent of latency of probe data for real-time applications is critical, so it is important to have a good understanding of the amount of latency and its influencing factors. This paper uses high-quality independent Bluetooth/Wi-Fi re-identification data collected on multiple freeway segments in three different states, to measure the latency of the vehicle probe data provided by three major vendors. The statistical distribution of the latency and its sensitivity to speed slowdown and recovery periods are discussed.},
doi = {10.1177/0361198118792768},
journal = {Transportation Research Record},
issn = {0361-1981},
number = 42,
volume = 2672,
place = {United States},
year = {2018},
month = {8}
}