Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation (2021) / Chapter Skim
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5 Probe and Cellular GPS Data Collection Methods Vehicle location information can be collected or extracted in several different ways: • In-vehicle embedded devices. • GPS devices embedded in cell phones.
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6 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation advance information which calculates the time difference between the start of a radio frame and a data burst, which is used to further approximate a user's location within a cell (Jagoe 2003)
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Literature Review 7 Commercial speed data providers have moved away from using a single method, technology, or source to generate probe data, to combining probe data from multiple sources and technologies to create a comprehensive traffic information service (Center for Advanced Transportation Technology, University of Maryland and KMJ Consulting Inc.
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8 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Trajectory Data In the last several years, some of the vehicle telematics-based O-D data providers began adding value to the traditional O-D data sets by including associated trajectory data. The new products consist of origins and destinations, as well as waypoints captured between those origins and destinations (Petrone and Franz 2018, Fan et al.
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Literature Review 9 Since February 2017, data are provided by a team led by the University of Maryland Center for Advanced Transportation Technology (Center for Advanced Transportation Technology)
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10 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation business and landmark information (points of interest) , and dynamic data such as traffic and weather reports.
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Literature Review 11 – Reporting project assessments, for example, the New Jersey DOT Tactical-level Asset Management Plan (Harrison et al.
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12 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Early studies attempted to quantify the quality of probe-based speed data and its ability to be used for certain applications on various classes of roadways based on AADTs or signal spacing. However, the density, granularity, coverage, and quality of data has improved to where it has become a key source of information to support agency operations and planning efforts on most roads for most use cases (Pack et al.
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