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Smartphones for public transport planning and recommendation in developing countries—A review

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Abstract 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. This article is categorized under: Application Areas > Society and Culture Technologies > Internet of Things
Detection of road features using inertial sensor data
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Map matching is needed when data is collected from multiple users who provide partial data of the complete route. A–B, A–C, and C–D are data obtained from three users covering different parts of the route
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