Traffic flow prediction using support vector regression-Reference-Cited by-同舟云学术

Traffic flow prediction using support vector regression

Published:2022-01-13 Issue:2 Volume:14 Page:619-626
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Nidhi Nidhi^ORCID,Lobiyal D. K.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-021-00852-2.pdf

Reference22 articles.

1. Nidhi, Lobiyal DK (2017) Introduction to Vehicular Adhoc Networks (VANET): Review. Int Res J Comput Sci 4(5):175–180

2. Elias SJ et al (2019) Congestion control in vehicular adhoc network: a survey. Indones J Electr Eng Comput Sci 13(3):1280–1285

3. Talib MS, Hussin B, Hassan A (2017) Converging VANET with vehicular cloud networks to reduce the traffic congestions: a review. Int J Appl Eng Res 12(21):10646–10654

4. Kumar S, Baliyan A, Tiwari A, Tripathi AK, Jaiswal B (2019) Intelligent traffic controller. Int J Inf Technol 1–13

5. Nidhi, Lobiyal DK Performance evaluation of an efficient RSU deployment scheme in an urban area (Communicated)

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