Abstract:Accurate expected time of arrival (ETA) information is crucial in maintaining the quality of service of public transit. Recent advances in artificial intelligence (AI) has led to more effective models for ETA estimation that rely heavily on a large GPS datasets. More importantly, these are mainly cabs based datasets which may not be fit for bus based public transport. Consequently, the latest methods may not be applicable for ETA estimation in cities with the absence of large training data data set. On the oth… Show more
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