Taxi demand prediction
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0131324
Reference16 articles.
1. Zhao, K., Khryashchev, D., Freire, J., Silva, C., & Vo, H. (2016, December). Predicting taxi demand at high spatial resolution: Approaching the limit of predictability. In 2016 ieee international conference on Big data (big data) (pp. 833–842). IEEE.
2. A Collaborative Multiagent Taxi-Dispatch System
3. Davis, N., Raina, G., & Jagannathan, K. (2016, November). A multi-level clustering approach for forecasting taxi travel demand. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (pp. 223–228). IEEE.
4. Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions
5. Gers, F. A., Eck, D., & Schmidhuber, J. (2002). Applying LSTM to time series predictable through time-window approaches. In Neural Nets WIRN Vietri-01 (pp. 193–200). Springer, London.
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1. Cloud-Based Demand-Responsive Transportation System Using Forecasting Model;Arabian Journal for Science and Engineering;2023-08-20
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