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Dynamic Bus Rapid Transit (BRT) Resource Management Modeling Using Fuzzy Logic Paradigm

Our prosperity and well-being are founded on efficient access to goods, services, people and places. In many developing countries, inadequate transport facilities are often the norm rather than the exception. A good transport system is essential to support economic growth and development. Nowadays, Traffic congestion resulting into excessive waiting time for the commuter is one of the leading causes of lost productivity and decreased standard of living in metropolis, urban and rural sectors in cities all over the world. This work employed a soft system methodology that is fuzzy logic-based traffic control modeling technique to predict traffic conditions and propose a flexible approach to resolving the allocation of Buses. The technique involves the fuzzification of input variables that is based on major traffic conditions such as, (Day of the week, Time of the day, public holidays, weather conditions and locality). The design employed Mamdanistyle inference system which is very good for the representation of human reasoning and effective analysis. The implementation is done using MATLAB 7.0 fuzzy logic tools. The result shows a tool that can be effectively used to analyze potential traffic deadlock conditions in Lagos State, Nigeria and help traffic officials in the city improve productivity cum standard of living in Lagos metropolis.