References

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• 2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
• 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA200 cited
• 2009Dynamic multi-interval bus travel time prediction using bus transit data119 cited
• 2015Improving Mass Transit Operations by Using AVL-Based Systems: A Survey101 cited
• 2005Prediction Model of Bus Arrival Time for Real-Time Applications86 cited
• 2012Individuals among commuters: Building personalised transport information services from fare collection systems73 cited
• 2011Mining mobility data to minimise travellers' spending on public transport63 cited
• 2011Bus-Arrival-Time Prediction Models: Link-Based and Section-Based59 cited
• 2014Validating the coverage of bus schedules: A Machine Learning approach46 cited
• 2010A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction44 cited
• 2015Rethinking bus punctuality by integrating Automatic Vehicle Location data and passenger patterns37 cited
• 2017Bus arrival time prediction based on network model19 cited
• 2009Light rail passenger demand forecasting by artificial neural networks17 cited