Freeway and Arterial Performance Analysis With High-Resolution Vehicle Trajectory Data
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2026-02-28
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Edition:Final Report: 2/6/2023 to 2/28/2026
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Abstract:This research investigates applying high-resolution vehicle trajectory data, derived from vehicle telematics, to facilitate freeway and arterial performance analysis in Nevada. Leveraging vehicle trajectory datasets crowd sourced through original equipment manufacturer (OEM) telematics, the research team conducted a comprehensive synthesis of common sources and types of vehicle trajectory data, identifying the uses of vehicle telemetry trajectory data to facilitate network-wide and spatially customizable representations of speed, delay, queuing, and lane-level dynamics. Key applications include regional traffic signal performance evaluation, cross-validation off freeway detector accuracy, and innovative safety analytics for school zones and vehicle passing events on two-way two-lane rural roads. To operationalize large datasets of vehicle telemetry trajectories, a software tool was developed in this research to enable agency practitioners to extract actionable insights without requiring advanced data processing expertise. This work provides a scalable framework and potential applications for state DOTs to integrate vehicle telemetry trajectory data into freeway and arterial performance evaluation practices, supporting a transition toward proactive operational and safety management and monitoring strategies and alternative approaches to data collection and analytics without sensor deployment.
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Main Document Checksum:urn:sha-512:8a8e325fa255f90a87514021043e5b639dc20224b82e045e849ef46a1cfd0f2674e143b308d3a9b3d4285302977aa6d41a03b1d5ad3866a4c3f71033038a4a5c
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