Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial-Reference-Cited by-同舟云学术

Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial

Published:2019-06-21 Issue: Volume: Page:115-133
ISSN:2522-8595
Container-title:Smart Infrastructure and Applications
language:
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Author:

Alsolami Bdoor,Mehmood Rashid,Albeshri Aiiad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-13705-2_5

Reference63 articles.

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2. Suma, S., Mehmood, R., Albugami, N., Katib, I., Albeshri, A.: Enabling next generation logistics and planning for smarter societies. In: Procedia Computer Science. pp. 1122–1127 (2017)

3. Suma, S., Mehmood, R., Albeshri, A.: Automatic event detection in smart cities using big data analytics. In: International Conference on Smart Cities, Infrastructure, Technologies and Applications (SCITA 2017): Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 111–122. Springer, Cham (2018)

4. Alomari, E., Mehmood, R.: Analysis of tweets in Arabic language for detection of road traffic conditions. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 224. pp. 98–110. Springer, Cham (2018)

5. Ayres, G., Mehmood, R., Mitchell, K., Race, N.J.P.: Localization to enhance security and services in Wi-Fi networks under privacy constraints. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 16. pp. 175–188. Springer (2009)

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