Multicriteria Planning Framework for Regional Intersection Improvement Using Telematics Data of Connected Vehicles
Publication: Journal of Urban Planning and Development
Volume 150, Issue 1
Abstract
This paper presents a novel approach to intersection improvement planning utilizing telematics data from connected vehicles to generate performance measures for mobility, safety, and emissions. Congestion, crashes, and emissions are three major issues in urban areas, particularly at intersections, and agencies often struggle to prioritize improvement plans because of a lack of objective data. Traditional infrastructure sensors provide limited information at selected locations, but it is not feasible to deploy them at all intersections. The use of telematics data from connected vehicles provides a high granularity of information on driving events and trajectories that can be used in conjunction with vehicle emission modeling to efficiently generate performance measures for all intersections. In a case study of over 300 intersections in Arlington, Texas, the Pareto front method was used to evaluate and rank intersections based on multiple criteria. Intersections falling on the Pareto front were identified as having at least one outstanding (poor) performance measure and were required to be given priority for improvement. The results were cross-validated with historical crash reports and the judgments of city traffic engineers, demonstrating the effectiveness of the proposed framework in generating objective and reliable intersection performance measures. This approach has the potential to significantly improve intersection safety, mobility, and environmental impact, and can serve as a valuable decision-support tool for transportation agencies.
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Data Availability Statement
Some or all data, models, or codes used during the study were provided by a third-party agency. Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.
Acknowledgments
Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the official views or policies of the aforementioned organizations, nor do the contents constitute a standard, specification, or regulation of these organizations. The authors would like to thank Mr. Daniel Burnham, the City Engineer at the City of Arlington, for his comments on and verification of the identified problematic intersections. The connected vehicle data were distributed by Wejo Data Service, Inc.
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Journal of Urban Planning and Development
Volume 150 • Issue 1 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: May 12, 2023
Accepted: Nov 2, 2023
Published online: Dec 27, 2023
Published in print: Mar 1, 2024
Discussion open until: May 27, 2024
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