Indian cities are seen with predominantly mixed traffic plying on the streets. Modeling the mixed traffic involving vehicles characterised of different speed, length, and width is a challenging issue. Based on the finer cell system of cellular automata (CA) models, this paper proposes to evaluate the mixed traffic behavior with cars and motorcycles for intermediate lane width, which is more common in Indian cities. The maximum car flow is observed (even with the presence of motorcycles) in the results which is higher than the Na-Sch model for cars. This increase is mainly due to the changing behavior. The car flow decreases as the density of the motorcycle increases. Furthermore, the paper proposes to evaluate the effect of lane change behavior on the speed and flow of the traffic stream using the fundamental diagrams of speed flow density curves. The simulation result suggests that lane change probability has little effect on the speed and flow of the traffic stream.
Traffic problems in the urban areas are increasing at a rapid rate. Engineers, planners or the policymakers are having a tough time in dealing with their multiple constraints for getting the desired solution. Some of the main transportation planning problems are mixed traffic plying on the roads, inadequate parking areas, increasing number of vehicles and road users, the unbalanced pattern of land use with obsolete road system, increasing number of road facilities and environmental pollution. Since in India most of the cities are unplanned, we are only left with an option management of existing infrastructure. In this paper, one such case study is presented in which a detailed traffic management for the city of Dharwad is carried out.
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