A review of bus arrival time prediction using artificial intelligence,WIREs Data Mining and Knowledge Discovery

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A review of bus arrival time prediction using artificial intelligence
WIREs Data Mining and Knowledge Discovery ( IF 6.4 ) Pub Date : 2022-04-03 , DOI: 10.1002/widm.1457
Nisha Singh ₁ , Kranti Kumar ₁

Affiliation

Buses are one of the important parts of public transport system. To provide accurate information about bus arrival and departure times at bus stops is one of the main parameters of good quality public transport. Accurate arrival and departure times information is important for a public transport mode since it enhances ridership as well as satisfaction of travelers. With accurate arrival-time and departure time information, travelers can make informed decisions about their journey. The application of artificial intelligence (AI) based methods/algorithms to predict the bus arrival time (BAT) is reviewed in detail. Systematic survey of existing research conducted by various researchers by applying the different branches of AI has been done. Prediction models have been segregated and are accumulated under respective branches of AI. Thorough discussion is presented to elaborate different branches of AI that have been applied for several aspects of BAT prediction. Research gaps and possible future directions for further research work are summarized.

中文翻译：

基于人工智能的公交车到站时间预测综述

公共汽车是公共交通系统的重要组成部分之一。在公交车站提供准确的公交车到达和离开时间信息是优质公共交通的主要参数之一。准确的到达和离开时间信息对于公共交通方式非常重要，因为它可以提高乘客人数和旅客满意度。有了准确的到达时间和出发时间信息，旅行者可以就他们的旅程做出明智的决定。详细回顾了基于人工智能 (AI) 的方法/算法在预测公交车到达时间 (BAT) 中的应用。已经对各种研究人员通过应用人工智能的不同分支进行的现有研究进行了系统调查。预测模型已被隔离并累积在 AI 的各个分支下。进行了彻底的讨论，以详细说明已应用于 BAT 预测的多个方面的 AI 的不同分支。总结了研究空白和未来可能的进一步研究工作方向。

更新日期：2022-04-03

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