Prediction of Bus Waiting Time in Smart Cities Using Machine Learning Techniques and the Internet of Things

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Abstract

Waiting time at a bus station is sometimes long, or can seem very long for travellers. This feeling is caused by the multiple stops in the bus route as well as the time interval between the different stations. Indeed, people are always looking for the best way to plan their trips in the city and do not like waiting long hours at bus stops to reach their destination. In this paper we will present a solution to predict bus waiting times using the Internet of Things, ITS and machine learning techniques. Several algorithms are used to give an accurate estimate of waiting time at bus stops.

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APA

Alaoui, E. A. A., Koumetio Tekouabou, S. C., Cherif, W., & Silkan, H. (2020). Prediction of Bus Waiting Time in Smart Cities Using Machine Learning Techniques and the Internet of Things. In Advances in Intelligent Systems and Computing (Vol. 1105 AISC, pp. 352–362). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-36674-2_36

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