MATHEMATICAL MODELS FOR ENHANCING PARK AND RIDE EFFICIENCY IN CITY TRAFFIC MANAGEMENT

This article explores the critical role of mathematical models in optimizing Park and Ride systems as a solution to urban traffic congestion. It delves into various mathematical techniques, including traffic flow models, queuing theory, and optimization algorithms, to enhance the efficiency of Park and Ride facilities. The article discusses how these models can improve decision-making regarding the placement and capacity of Park and Ride lots, as well as streamline transportation routes connecting peripheral parking areas to city centers. By integrating mathematical modelling into urban planning, this paper demonstrates how cities can reduce traffic jams, minimize pollution, and improve the overall commuter experience. Through case studies and real-world applications, the article illustrates the potential of these models to transform transportation systems in urban environments, offering a more sustainable and efficient alternative to traditional traffic management strategies.