Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management
AbstractOne 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 systems is in the deployment of sensors to provide accurate information about the traffic. Our proposal is using the centrality measurement of a graph as a base to locate the best locations for sensor installation in a traffic network. After integrating these sensors in a simulation scenario, we define a Multi-Agent Systems composed of three types of agents: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. The ultimate goal of these Multi-Agent Systems is to improve the trip duration for vehicles in the network. To validate our solution, we have developed the needed elements for modelling the sensors and agents in the simulation environment. We have carried out experiments using the Simulation of Urban MObility (SUMO) traffic simulator and the Travel and Activity PAtterns Simulation (TAPAS) Cologne traffic scenario. The obtained results show that our proposal allows to reduce the sensor network while still obtaining relevant information to have a global view of the environment. Finally, regarding the Multi-Agent Systems, we have carried out experiments that show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration and reduction of the message exchange overhead in the sensor network. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Cruz-Piris, L.; Rivera, D.; Fernandez, S.; Marsa-Maestre, I. Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management. Sensors 2018, 18, 435.
Cruz-Piris L, Rivera D, Fernandez S, Marsa-Maestre I. Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management. Sensors. 2018; 18(2):435.Chicago/Turabian Style
Cruz-Piris, Luis; Rivera, Diego; Fernandez, Susel; Marsa-Maestre, Ivan. 2018. "Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management." Sensors 18, no. 2: 435.