scholarly journals A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 183051-183070
Author(s):  
Davide Andrea Guastella ◽  
Valerie Camps ◽  
Marie-Pierre Gleizes
Keyword(s):  
Smart Cities ◽  
Multi Agent System ◽  
Agent System ◽  
Crowd Sensing ◽  
Multi Agent

scholarly journals Multi-Agent System for Intelligent Urban Traffic Management Using Wireless Sensor Networks Data

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 208
Author(s):  
Maria Viorela Muntean
Keyword(s):  
Traffic Management ◽  
Nearest Neighbor ◽  
Smart Cities ◽  
City Council ◽  
Urban Traffic ◽  
Multi Agent System ◽  
K Nearest Neighbor ◽  
Agent System ◽  
Traffic Lights ◽  
Multi Agent

Intelligent traffic management is an important issue for smart cities. City councils try to implement the newest techniques and performant technologies in order to avoid traffic congestion, to optimize the use of traffic lights, to efficiently use car parking, etc. To find the best solution to this problem, Birmingham City Council decided to allow open-source predictive traffic forecasting by making the real-time datasets available. This paper proposes a multi-agent system (MAS) approach for intelligent urban traffic management in Birmingham using forecasting and classification techniques. The designed agents have the following tasks: forecast the occupancy rates for traffic flow, road junctions and car parking; classify the faults; control and monitor the entire process. The experimental results show that k-nearest neighbor forecasts with high accuracy rates for the traffic data and decision trees build the most accurate model for classifying the faults for their detection and repair in the shortest possible time. The whole learning process is coordinated by a monitoring agent in order to automate Birmingham city’s traffic management.

A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities

2018 ◽  
Vol 36 (11) ◽  
pp. 1113-1121 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Arkady Zaslavsky ◽  
Inna Sosunova ◽  
Petr Fedchenkov ◽  
Alexey Medvedev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Waste Management ◽  
Urban Areas ◽  
Dynamic Scheduling ◽  
Smart Cities ◽  
Multi Agent System ◽  
Sensors And Actuators ◽  
Agent System ◽  
Four Seasons ◽  
Multi Agent

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent

Consensus for Damaged Multi-agent System

2012 ◽  
Vol 38 (11) ◽  
pp. 1880 ◽  
Author(s):  
Wei-Sheng YAN ◽  
Jun-Bing LI ◽  
Yin-Tao WANG
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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