Advancing Urban Transportation System Operational Performance Evaluation Using Probe Vehicle Telematics Data

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Authors

Xu, Jianyuan

Issue Date

2024

Type

Dissertation

Language

en_US

Keywords

Automated Traffic Signal Performance Measures , Freeway Operation , Highway Capacity Manual , Probe Vehicle Telematics Data , Transportation System Operational Performance Evaluation

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Abstract

Efficient urban transportation system operational performance evaluation closely relies on continuous and high-quality traffic data collection. Traditionally, traffic data is collected from manual labor counts or static detectors temporarily or permanently installed at fixed locations on urban roadways. However, there are several limitations of using traditional data collection methods for transportation system operational performance evaluation. Firstly, the manual labor count or temporary detector installations is cost-ineffective in terms of labor costs and limited spatial and temporal data coverage. Secondly, the number of permanent detector installations are limited in roadway networks and can only collect point-level data rather than reflecting a complete and detailed picture of vehicle operations. Thirdly, malfunctioning detectors can generate missing or bad-quality data, which significantly deteriorates the accuracy and reliability of operational performance evaluation. The emergence of probe vehicle telematics data (PVTD) has great potential to supplement the existing data sources to facilitate operational performance evaluation by generating large-scale and prolific vehicle trajectory data which contains high-resolution spatial, temporal, and operational information of individual vehicles. Therefore, this dissertation explores and presents three innovative applications of using PVTD to advance operational performance evaluation for different roadway facilities, including freeways and arterials.For freeways, this dissertation utilizes PVTD to verify the accuracy of speed measured by freeway detectors and compare the sensitivity of detecting congestion formation and dissipation between vehicle trajectory speeds and detector speeds on basic freeway segments. For arterials, this first application is focused on utilizing PVTD as an alternative tool to facilitate the use of performance evaluation methodology of urban street facilities in the Highway Capacity Manual (HCM). The second application is to propose an easy-to-use trajectory-based performance measure, Arterial Through Percent Arrivals on Red (ATPAoR), and investigates the relationship between ATPAoR and Percent Arrivals on Red (PAoR) in the Automated Traffic Signal Performance Measures (ATSPM) for arterial signal coordination performance evaluation. The lessons learnt from three applications aim to assist practitioners in better understanding the use of PVTD to supplement the existing data sources, performance measures, and performance evaluation methodologies to conduct urban transportation system operational performance evaluation in an efficient manner.

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