Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies-Reference-Cited by-同舟云学术

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies

Published:2024 Issue: Volume:12 Page:115386-115399
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Karthick Raghunath K. M.¹,Rohith Bhat C.²^ORCID,Vinoth Kumar Venkatesan³^ORCID,Athiyoor Kannan Velmurugan⁴,Mahesh T. R.⁵,Manikandan K.⁶,Krishnamoorthy N.³

Affiliation:

1. Department of Computer Science, JAIN (Deemed-to-be University), Global Campus, Bengaluru, Karnataka, India

2. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

3. School of Computer Science Engineering and Information Systems (SCORE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India

4. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India

5. School of Computer Science and Engineering, JAIN (Deemed-to-be University), Bengaluru, Karnataka, India

6. School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10636149.pdf?arnumber=10636149

Reference28 articles.

1. Smart mobility and public transport: Opportunities and challenges in rural and urban areas

2. Smart Urban Mobility: When Mobility Systems Meet Smart Data

3. Applications of Artificial Intelligence in Transport: An Overview

4. The Digital Growth Machine: Urban Change and the Ideology of Technology

5. Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations