Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing-Reference-Cited by-同舟云学术

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Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing

Published:2024 Issue: Volume:12 Page:63683-63700
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Driss Laanaoui My¹,Lachgar Mohamed²^ORCID,Mohamed Hanine²^ORCID,Hamid Hrimech³,Gracia Villar Santos⁴,Ashraf Imran⁵^ORCID

Affiliation:

1. Department of Computer Science, Ecole Normale Superieure, Cadi Ayyad University, Marrakech, Morocco

2. LTI Laboratory ENSA, Chouaib Doukkali University, El Jadida, Morocco

3. LAMSAD Laboratory ENSA, Hassan First University, Berrechid, Morocco

4. Higher Polytechnic School, Universidad Europea del Atlántico, Santander, Spain

5. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea

Funder

European University of Atlantics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10508783.pdf?arnumber=10508783

Reference59 articles.

1. Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape

2. Survey on Big Data Techniques in Intelligent Transportation System (ITS)

3. A Case Study on the Potential Applications of V2V Communication for Improving Road Safety in Pakistan

4. An Improved Big Data Analytics Architecture Using Federated Learning for IoT-Enabled Urban Intelligent Transportation Systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Load Balancing Approach to Mitigate Network Congestion in VANETS;Computers;2024-08-13

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