Abstract
India’s transport sector has a prominent role in transportation of passengers. Andhra Pradesh State Road Transport Corporation (APSRTC) is a major transportation in the state. State has many routes, and there are so many towns on a particular route. Most of the population mainly depends on transportation system; hence, it is necessary to predict the occupancy percentage of the transit buses in a given particular period for the convenience of passengers. There is a need of advancement in transportation services for effective maintainability. Identifying passenger occupancies on a different number of buses is found to be a major problem. A promising approach is the technique of forecasting the data from previous history and the better predictive mining technology must be applied to analyze the passenger to predict the passenger flow. In this work, ARIMA-based method is analyzed for studying the APSRTC transit bus occupancy rate.
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Gummadi, R., Edara, S.R. (2018). Analysis of Passenger Flow Prediction of Transit Buses Along a Route Based on Time Series. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_4
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DOI: https://doi.org/10.1007/978-981-10-7563-6_4
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