Smartphones for public transport planning and recommendation in developing countries—A review,WIREs Data Mining and Knowledge Discovery

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Smartphones for public transport planning and recommendation in developing countries—A review
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2020-11-13 , DOI: 10.1002/widm.1397
Rohit Verma ₁ , Sandip Chakraborty ₂

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In this era of connected systems that have penetrated everywhere, transport units have become a significant source of data, collected from commuters, vehicles, drivers, or any section being touched by the transport system. These data, which have both spatial as well as temporal aspects, is utilized for a plethora of services like travel assistant systems, multi‐modal transport solutions, real‐time travel information, smart parking, autonomous vehicles, to name a few. With the current buzz of sustainable transport, the use of public transport systems have been popularized owing to the economic and environmental savings. In this review article, we provide a highlight of works, which have tried to utilize techniques to improve multiple sections of the public transport system, primarily focusing on developing economies, thus improving the overall commute experience at various countries.

更新日期：2020-11-13

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