Smart public transit insights

Abstract

Local public administrations should pay special attention to the implementation of the smart mobility concept because public transport is a key factor for the sustainable development of cities. This paper explores the analysis of public transportation performance using intelligent algorithms that process data obtained from GPS devices and various other sensors operating on buses. The results obtained from this analysis form the basis of an intelligent management of the public transport system. The proposed analysis model aids in evaluating the transport system’s performance and improving the feasibility and suitability of the transport plan. The analysis of historical monitoring data facilitates timely, fact-based decisions. Our work explains why advanced IT solutions for transport management based on analytics should be present in all smart city projects, given that the efficient mobility of citizens increases the level of socio-economic development.