A survey on application of artificial intelligence for bus arrival time prediction

Abstract

With the intention of satisfying mobility requirements for trustworthy, healthy and secure transport, there are more considerations on the establishment of intelligent transport systems (ITS) currently. Advanced traveller information systems (ATIS), as a part of ITS, is to provide travel time information as precisely as possible. Basically, there are reasons leading to delay in bus arrival time, e.g. traffic jam, ridership distribution, and climate situation. Consequently, these issues impress on growing travellers waiting time, postponement in timetable, rise in transit's expense and private vehicles' uses, dissatisfaction of passengers and reduction of passengers, providing of precise transit travel time information are significant since it will result in further transit passages and upsurge the acquiescence of passengers. In this paper, we first explore the importance of arrival time for passengers and present a new taxonomy of bus arrival prediction models, and then review some recent works. Finally, summary of the main technologies illustrate big picture of the studies.