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Author Abbas, Sagheer ♦ Khan, M. Saleem ♦ Ahmed, Khalil ♦ Abdullah, M. ♦ Farooq, Umer
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Dynamic Route Selection ♦ Avoid Traffic Congestion ♦ Bio-inspired Neuro-fuzzy ♦ Neuro-fuzzy System ♦ Traffic Control Room ♦ Operational Traffic Data ♦ Route Selection System ♦ Research Practice ♦ Artificial Neural Network ♦ Traffic Congestion ♦ Principal Routing ♦ Bio-inspired Neuro Fuzzy ♦ Neuro-fuzzy Logic ♦ Preferred Requirement ♦ Multi-parameters Direction ♦ Ant Colony System
Abstract Abstract — this paper presents the bio-inspired neuro- fuzzy based route selection system to avoid traffic congestion. The proposed neuro-fuzzy system selects the best multi-parameters direction between two desired nodes: source and the endpoint. This research practices a mixture of neuro-fuzzy logic and ant colony system (ACS) algorithm for the principal routing to fulfill all the preferred requirements of the user using operational traffic data directly carried by the traffic control room and predicted by artificial neural networks for forthcoming minutes of the traffic.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article