Dynamic Bus Travel Time Prediction Using an ANN-based Model

Author:

As Mansur1,Mine Tsunenori2

Affiliation:

1. Department of Advanced Information Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka

2. Department of Advanced Information Technology, Kyushu University, Fukuoka

Publisher

ACM

Reference15 articles.

1. Urban bus arrival time prediction: A review of computational models;Altinkaya Mehmet;International Journal of Recent Technology and Engineering (IJRTE),2013

2. Prediction of Bus Travel Time Using ANN: A Case Study in Delhi

3. A Dynamic Bus-Arrival Time Prediction Model Based on APC Data

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1. A Comprehensive Survey on Parametric and Non-Parametric Machine Learning Approaches for Bus Arrival Time Prediction;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

2. CatETA: A Categorical Approximate Approach for Estimating Time of Arrival;IEEE Transactions on Intelligent Transportation Systems;2022-12

3. Multi-attention graph neural networks for city-wide bus travel time estimation using limited data;Expert Systems with Applications;2022-09

4. Predictive Proactive Caching in VANETs for Social Networking;IEEE Transactions on Vehicular Technology;2022-05

5. A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities;PeerJ Computer Science;2021-09-08

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