Development of a Multi-Agent Based Model for Heterogeneous Traffic Flow Analysis
Naheem Olakunle Adesina, Abiodun Alani Ogunseye, Akindele Opeyemi Areegbe, Thomas Kokumo Yesufu "Development of a Multi-Agent Based Model for Heterogeneous Traffic Flow Analysis", International Journal of Engineering Trends and Technology (IJETT), V50(2),114-120 August 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Vehicular traffic flow management is important to the economic well-being of any modern society. This work developed a multi-agent based traffic management model to ease traffic flow in a chaotic traffic environment. The developed model employed a multiagent based design principle in which vehicles are treated as interacting intelligent system in a typical road section. Aimsun® 6.1 software was used to obtain information about the traffic flow while the developed model was simulated using MATLAB® software. The results showed that the vehicle speed is a major determinant of heterogeneous traffic flow. As the vehicular speed is increased, the region of transitions which occurred at the critical densities continued to shift leftward on the flow-density plot. This consequently resulted in predominantly more congested area than the free-flow region, implying that the traffic is becoming more congested. In conclusion, the inclusion of incomplete sets of topology had expanded the solution space that could be investigated which would give better information for traffic management.
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Heterogeneous traffic, multi-agent, routing table, vehicles. Traffic management.