Urban Corridor Travel Time Estimation Modelling Using Fuzzy Logic Technique: A Case Study of Indian Metropolitan City

Abstract

Traffic and transport planning in fast-growing metropolitan cities in India is the most challenging task for the Urban Transport Planner, in view of the faster traffic and transport demand growth observed in recent time. The main transport corridors in urban area are heavily loaded and facing severe traffic problems. Increase in travel time is one of the significant issues. The Level of Service is decreasing, and vehicular delays are intolerable during peak periods. Situations call for in-depth analysis of travel time with respect to heterogeneous traffic plying on urban corridors and other associated attributes with travel time variations and development of an appropriate model for travel time estimation. As the travel time attributes assessment is part of the human decision process, a soft technique fuzzy logic approach has been advocated for developing the model. The model incorporates roadside friction prevailing on roadside haphazard parking as well as pedestrian encroachment at a number of spots along the corridor in addition to the traffic intensity. Intersection factor in terms of impact on speed is another important parameter initiated in the present study.