Machine Learning-Based Dynamic Signal Switching: A Promising Solution to Traffic Congestion-Reference-Cited by-同舟云学术

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Machine Learning-Based Dynamic Signal Switching: A Promising Solution to Traffic Congestion

Published:2023-12-14 Issue: Volume:IET4 Page:1-8
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
language:
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Author:

Kanchana M.¹,PV Gopirajan²,B Mahalakshmi³,Nirmala B. Vijaya³

Affiliation:

1. SRM Institute of Science and Technology,School of Computing,Department of Computing Technologies,Katankulathur. Chennai,Tamil Nadu,India,603203

2. SRM Institute of Science and Technology,School of Computing,Department of Computational Intelligence,Katankulathur. Chennai,Tamil Nadu,India,603203

3. AMC Engineering College,Department of Computer Science and Engineering,Bangalore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465532.pdf?arnumber=10465532

Reference29 articles.

1. Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities

2. IoT-based traffic prediction and traffic signal control system for smart city

3. Recent development of smart traffic lights

4. A plunge in the number of traumatic traffic injuries in an emergency center in Anhui province, China

5. Novel Coronavirus Pneumonia Emergency Response Key Places P, Disinfection Technology Team C C for D C and Prevention 2020 Health protection guideline of passenger transport stations and transportation facilities during novel coronavirus pneumonia (NCP) outbreak Zhonghua Yu Fang Yi Xue Za Zhi54 E007-E007

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