A cross-vendor and cross-state analysis of the GPS-probe data latency
Zhongxiang Wang, Masoud Hamedi, Elham Sharifi, Stanley Young

TL;DR
This study measures and analyzes the latency of GPS probe data across multiple vendors and states, highlighting how latency varies with traffic conditions using Bluetooth/Wi-Fi re-identification data.
Contribution
It provides a detailed cross-vendor and cross-state analysis of GPS probe data latency, using independent Bluetooth/Wi-Fi data to quantify and understand latency characteristics.
Findings
Latency varies significantly across vendors and states.
Latency increases during traffic slowdowns and recovers afterward.
The distribution of latency is influenced by traffic conditions.
Abstract
Crowdsourced GPS probe data has 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 is 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 has mostly faded away. However, the latency of probe data, defined as the lag between the time that disturbance in traffic speed is reported in the outsourced data feed, and the time that the traffic is…
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