Real-time and Predictive Analytics for Smart Public Transportation Decision Support System

Public bus transit plays an important role in city transportation infrastructure. However, public bus transit is often difficult to use because of lack of real-time information about bus locations and delay time, which in the presence of operational delays and service alerts makes it difficult for riders to predict when buses will arrive and plan trips. Precisely tracking vehicle and informing riders of estimated times of arrival is challenging due to a number of factors, such as traffic congestion, operational delays, varying times taken to load passengers at each stop.

Year of Publication
Conference Name
2nd IEEE International Conference on Smart Computing (SMARTCOMP 2016)
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