A Data-Driven Intersection Geometry Mapping Technique to Enhance the Scalability of Trajectory-Based Traffic Signal Performance Measures

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ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.org/journal/jtts
E-mail: jtts@scirp.org

"A Data-Driven Intersection Geometry Mapping Technique to Enhance the Scalability of Trajectory-Based Traffic Signal Performance Measures"
written by Enrique D. Saldivar-Carranza, Darcy M. Bullock,
published by Journal of Transportation Technologies, Vol.13 No.3, 2023

has been cited by the following article(s):

[1]	Data-driven statewide prioritization of corridors for signal retiming projects
	International Journal of …, 2024

[2]	International Journal of Transportation Science and Technology
	2024

[3]	Automatic Extraction of Relevant Road Infrastructure using Connected vehicle data and Deep Learning Model
	arXiv preprint arXiv …, 2023

[4]	Actionable Traffic Signal Performance Measures from Large-scale Vehicle Trajectory Analysis
	2023

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