Comparative analysis of the optimal route recommendation models based on city public transportation network data

In recent years, studies on smart cities have attracted much attention in the literature. In the smart city concept, urban public transportation network studies are one of the most important issues. Afterthe 2000s, smart cards have been widely used in city public transportation systems. Using the data collected through the smart card, many models have been created in line with the smart city concept. In the literature, there are various optimal route recommendation models using urban public transportation network and city smart card data. In this study, some current models built on the basis of urban public transportation network and smart card data are discussed. The specifications of the models, their important differences, the topologies they use, optimization criteria, and computational complexities are analyzed. Dijkstra’s algorithm, which is widely used for the solution of optimal route recommendation models, and its various modifications are analysed. Additionally, various models developed by applying fuzzy logic are examined. Comparative analysis of public transportation network models is given.