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Short‐term traffic forecasting: Overview of objectives and methods
Abstract
In the last two decades, the growing need for short‐term prediction of traffic parameters embedded in a real‐time intelligent transportation systems environment has led to the development of a vast number of forecasting algorithms. Despite this, there is still not a clear view about the various requirements involved in modelling. This field of research was examined by disaggregating the process of developing short‐term traffic forecasting algorithms into three essential clusters: the determination of the scope, the conceptual process of specifying the output and the process of modelling, which includes several decisions concerning the selection of the proper methodological approach, the type of input and output data used, and the quality of the data. A critical discussion clarifies several interactions between the above and results in a logical flow that can be used as a framework for developing short‐term traffic forecasting models.
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Cited by
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Lv, Y., Duan, Y., Kang, W., Li, Z., & Wang, F.-Y. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2345663 · Cited by 3,000
Short-term traffic forecasting: where we are and where we’re going
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.01.005 · Cited by 1,132
Self-citationRoad Traffic Forecasting: Recent Advances and New Challenges
Lana, I., Del Ser, J., Velez, M., & Vlahogianni, E. I. (2018) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2018.2806634 · Cited by 367
Self-citationSurvey on traffic prediction in smart cities
Nagy, A. M., & Simon, V. (2018) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2018.07.004 · Cited by 312
Miglani, A., & Kumar, N. (2019) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100184 · Cited by 295
Metadata
- Authors
- Vlahogianni, E. I., Golias, J. C., & Karlaftis, M. G.
- Venue
- Transport Reviews
- Publisher
- Informa UK Limited
- Published
- 2004-09
- Volume
- 24
- Issue
- 5
- Pages
- 533-557
- ISSN
- 0144-1647 (ISSN-L)
- 1464-5327
- OpenAlex
- W2111991989
- Cited by
- 575
- References
- 0
- FWCI
- 22.73
- Type
- journal article
- Language
- en
- Open access
- closed
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