Development and Evaluation of Intersection-Based Turning Movement Counts Framework Using Two Channel LiDAR Sensors

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

"Development and Evaluation of Intersection-Based Turning Movement Counts Framework Using Two Channel LiDAR Sensors"
written by Ravi Jagirdar, Joyoung Lee, Dejan Besenski, Min-Wook Kang, Chaitanya Pathak,
published by Journal of Transportation Technologies, Vol.13 No.4, 2023

has been cited by the following article(s):

[1]	The use of a fluorine mass balance to demonstrate the mineralization of PFAS by high frequency and high power ultrasound
	Chemosphere, 2024

[2]	Seismic hazards
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[3]	Quantifying Vehicle Queuing and Delay at Intersections with LiDAR Sensors
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[4]	Evaluating the Impact of Weather Conditions on Intersection Traffic Flow: A LiDAR-Based Study
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[5]	Geo-Spatial Analysis Techniques
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[6]	Optimizing Traffic Signal Timing through Intersection-Based Turning Movement Counts Using LiDAR Sensors
	1924

[7]	Enhancing Urban Mobility: Evaluating Intersection Efficiency with LiDAR-Based Turning Movement Analysis
	1924

[1]	Prediction of mechanical properties of eco-friendly concrete using machine learning algorithms and partial dependence plot analysis Smart Construction and Sustainable Cities, 2025 DOI:10.1007/s44268-025-00048-8

[2]	The use of a fluorine mass balance to demonstrate the mineralization of PFAS by high frequency and high power ultrasound Chemosphere, 2024 DOI:10.1016/j.chemosphere.2024.141270

[3]	The use of a fluorine mass balance to demonstrate the mineralization of PFAS by high frequency and high power ultrasound Chemosphere, 2024 DOI:10.1016/j.chemosphere.2024.141270

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