A method to predict travel time in large-scale urban areas using Vehicular Networks-Reference-Cited by-同舟云学术

A method to predict travel time in large-scale urban areas using Vehicular Networks

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the international conference on smart cities and internet of things - SCIOT '18
language:
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Author:

Fathy Mahmood¹,Mohammadi Mahboubeh²

Affiliation:

1. Computer Department, Iran University Science and Technology, Tehran, Iran

2. Iran University Science and Technology

Publisher

ACM Press

Reference24 articles.

1. Fathy, M., Yousefi, S. and Mousavi, M.S., 2006. Vehicular ad hoc networks (VANETs): challenges and perspectives. In ITS Telecommunications Proceedings, 6th International Conference. IEEE, pp. 761--766. DOI: 10.1109/ITST.2006.289012

2. Hu, F. ed., 2018. Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications: A Technical Approach. CRC Press., New York. ISBN-13: 978-1-138-70683-5

3. Darwish, T. and Bakar, K.A., 2015. Traffic density estimation in vehicular ad hoc networks: A review. Ad Hoc Networks, 24(A), 337--351. DOI: https://doi.org/10.1016/j.adhoc.2014.09.007

4. Ahmed, H., Pierre, S. and Quintero, A., 2017, A flexible testbed architecture for VANET, Vehicular Communications, Vol. 9, 115--126. DOI: https://doi.org/10.1016/j.vehcom.2017.04.004.

5. National Research Council, 2012. Artificial Intelligence Applications of Critical Transportation Issues. Transportation Research Circular E-C168, New York

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