Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management
One of the biggest challenges in modern societies is to solve vehicular traffic problems. Sensor networks in traffic environments have contributed to improving the decision-making process of Intelligent Transportation Systems. However, one of the limiting factors for the effectiveness of these syste...
Main Authors: | Luis Cruz-Piris, Diego Rivera, Susel Fernandez, Ivan Marsa-Maestre |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/2/435 |
Similar Items
-
ADAPTIVE INTELLIGENT TRAFFIC CONTROL SYSTEMS FOR IMPROVING TRAFFIC QUALITY AND CONGESTION IN SMART CITIES
by: Aminah Hardwan Ahmed, et al.
Published: (2021-03-01) -
An efficient intelligent traffic light control and deviation system for traffic congestion avoidance using multi-agent system
by: Rajendran Sathiyaraj, et al.
Published: (2020-07-01) -
Smart Cities and Data Analytics for Intelligent Transportation Systems: An Analytical Model for Scheduling Phases and Traffic Lights at Signalized Intersections
by: Fatih Gunes, et al.
Published: (2021-07-01) -
Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach
by: Giovanni Pau, et al.
Published: (2018-02-01) -
An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities
by: Dex R. ALEKO, et al.
Published: (2020-02-01)