Abstract
Abstract The study presents the route choice behaviour among three alternative routes for a set of origin and destination points of Surat, a metropolitan city of India. Travel time, traffic congestion level and environmental effects along the routes are considered as the main decisive factors for the route choice in metropolitan mixed traffic environment. The neuro-fuzzy hybrid approach is used in model building here, which couples the traditional fuzzy logic with neural nets’ training capabilities to compose the fuzzy logic’s knowledge base and fuzzy sets’ parameters optimally. The developed model has shown improved results over basic fuzzy modelling to address the uncertainty in choice decisions and is able to map the choice behaviour in a realistic way.
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