ArticleSensors (Basel, Switzerland)2021
Multi-Agent System for Intelligent Urban Traffic Management Using Wireless Sensor Networks Data.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System.Sensors (Basel, Switzerland) · 2024Article
- Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol.Sensors (Basel, Switzerland) · 2023Article
- Cyber-Physical System for Smart Traffic Light Control.Sensors (Basel, Switzerland) · 2023Article
- Survey of Decomposition-Reconstruction-Based Hybrid Approaches for Short-Term Traffic State Forecasting.Sensors (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.