SDN Control-Enabled and Time-Quantum-Driven Max-Pressure Approach for Intersection Management in Smart City-Reference-Cited by-同舟云学术

SDN Control-Enabled and Time-Quantum-Driven Max-Pressure Approach for Intersection Management in Smart City

Published:2023-03 Issue:1 Volume:17 Page:1694-1702
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Sachan Anuj¹^ORCID,Kumar Neetesh¹^ORCID

Affiliation:

1. Indian Institute of Technology-Roorkee, Roorkee, India

Funder

Science and Engineering Research Board

DST, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10051137/09924597.pdf?arnumber=9924597

Reference31 articles.

1. AI-Based Adaptive Signaling for Traffic Control Around Roundabouts

2. Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System

3. Microscopic Traffic Simulation using SUMO

4. Adaptive Traffic Signal Control Based on Maximum Weighted Traffic Flow

5. Computational complexity of general fuzzy logic control and its simplification for a loop controller

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