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A Dynamic Bus-Arrival Time Prediction Model Based on APC Data
Open accessAbstract
Abstract: Automatic passenger counter (APC) systems have been implemented in various public transit systems to obtain bus occupancy along with other information such as location, travel time, etc. Such information has great potential as input data for a variety of applications including performance evaluation, operations management, and service planning. In this study, a dynamic model for predicting bus-arrival times is developed using data collected by a real-world APC system. The model consists of two major elements: the first one is an artificial neural network model for predicting bus travel time between time points for a trip occurring at given time-of-day, day-of-week, and weather condition; the second one is a Kalman filter-based dynamic algorithm to adjust the arrival-time prediction using up-to-the-minute bus location information. Test runs show that this model is quite powerful in modeling variations in bus-arrival times along the service route.
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Cited by
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Wang, Y., Zhang, D., Liu, Y., Dai, B., & Lee, L. H. (2019) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.12.004 · Cited by 312
A predictive-control framework to address bus bunching
Andres, M., & Nair, R. (2017) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2017.06.013 · Cited by 95
Headway-based bus bunching prediction using transit smart card data
Yu, H., Chen, D., Wu, Z., Ma, X., & Wang, Y. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.09.007 · Cited by 80
An online learning approach to eliminate Bus Bunching in real-time
Moreira-Matias, L., Cats, O., Gama, J., Mendes-Moreira, J., & de Sousa, J. F. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.06.031 · Cited by 75
Bus Arrival Time Prediction: A Comprehensive Review
Kumar, B. A., Singh, R., Shaji, H. E., & Vanajakshi, L. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3545695 · Cited by 13
Metadata
- Authors
- Chen, M., Liu, X., Xia, J., & Chien, S. I.
- Venue
- Computer-Aided Civil and Infrastructure Engineering
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 19
- Issue
- 5
- Pages
- 364-376
- ISSN
- 1093-9687 (ISSN-L)
- 1467-8667
- OpenAlex
- W2026524503
- Cited by
- 209
- References
- 0
- FWCI
- 7.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Chen, M., Liu, X., Xia, J., & Chien, S. I. (2004). A Dynamic Bus-Arrival Time Prediction Model Based on APC Data. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/j.1467-8667.2004.00363.x
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