research-article

Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region

Authors:

Raneem Qaddoura,

Maram Bani Younes,

Azzedine BoukercheAuthors Info & Claims

Q2SWinet '21: Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks

Pages 115 - 121

https://doi.org/10.1145/3479242.3487329

Published: 22 November 2021 Publication History

Abstract

The traffic characteristics over the road network vary from a country to another. The geometric parameters of the designed roads and the driving habits and behavior represent the main factors in this aspect. The traffic volume, traffic speed, traffic density, and traffic context are the main interesting characteristics for investigation. Predicting these characteristics is also affected by several factors including the position and speed of each vehicle. In this work, we aim to use some machine learning techniques including Linear Regression, K-Nearest Neighbor, and Decision Tree to predict the traffic characteristics of six main selected roads in Jordan, the Kingdom of Saudi Arabia (KSA), and the United Arab Emirates (UAE). From the experimental results, we can infer that the KNN algorithm gives better results in terms of $RMSE$ and $R^2$ for the six roads when predicting the vehicles' information for future periods of time.

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Cited By

Qaddoura RYounes MBoukerche A(2024)Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenariosAd Hoc Networks10.1016/j.adhoc.2024.103508161(103508)Online publication date: Aug-2024
https://doi.org/10.1016/j.adhoc.2024.103508
Tan LLim MLee YKhoo H(2024)Straight road noise mapping prediction using probabilistic approachStochastic Environmental Research and Risk Assessment10.1007/s00477-024-02837-638:12(4883-4899)Online publication date: 19-Oct-2024
https://doi.org/10.1007/s00477-024-02837-6
Alqarqaz MBani Younes MQaddoura R(2023)An Object Classification Approach for Autonomous Vehicles Using Machine Learning TechniquesWorld Electric Vehicle Journal10.3390/wevj1402004114:2(41)Online publication date: 3-Feb-2023
https://doi.org/10.3390/wevj14020041
Show More Cited By

Index Terms

Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region
1. Networks
  1. Network protocols
    1. Application layer protocols

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Published In

cover image ACM Conferences

Q2SWinet '21: Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks

November 2021

143 pages

ISBN:9781450390804

DOI:10.1145/3479242

General Chair:
Periklis Chatzimisios
International Hellenic University, Greece
,
Program Chairs:
Rodolfo W. L. Coutinho
Concordia University, Canada
,
Mirela Notare
University of Technology in Fly Transportation, Brazil

Copyright © 2021 ACM.

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 November 2021

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MSWiM '21

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SIGSIM

MSWiM '21: 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 22 - 26, 2021

Alicante, Spain

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Overall Acceptance Rate 46 of 131 submissions, 35%

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Cited By

Qaddoura RYounes MBoukerche A(2024)Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenariosAd Hoc Networks10.1016/j.adhoc.2024.103508161(103508)Online publication date: Aug-2024
https://doi.org/10.1016/j.adhoc.2024.103508
Tan LLim MLee YKhoo H(2024)Straight road noise mapping prediction using probabilistic approachStochastic Environmental Research and Risk Assessment10.1007/s00477-024-02837-638:12(4883-4899)Online publication date: 19-Oct-2024
https://doi.org/10.1007/s00477-024-02837-6
Alqarqaz MBani Younes MQaddoura R(2023)An Object Classification Approach for Autonomous Vehicles Using Machine Learning TechniquesWorld Electric Vehicle Journal10.3390/wevj1402004114:2(41)Online publication date: 3-Feb-2023
https://doi.org/10.3390/wevj14020041
Younes MBoukerche A(2023)A Novel Traffic Characteristics Aware and Context Prediction Protocol for Intelligent Connected VehiclesIEEE Transactions on Vehicular Technology10.1109/TVT.2023.325990372:8(9897-9908)Online publication date: Aug-2023
https://doi.org/10.1109/TVT.2023.3259903
Biltawi MQaddoura R(2022)The Impact of Feature Selection on the Regression Task for Life Expectancy Prediction2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA)10.1109/ETCEA57049.2022.10009674(1-5)Online publication date: Nov-2022
https://doi.org/10.1109/ETCEA57049.2022.10009674
Qaddoura RYounes M(2022)Temporal prediction of traffic characteristics on real road scenarios in AmmanJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-03708-014:7(9751-9766)Online publication date: 9-Feb-2022
https://doi.org/10.1007/s12652-022-03708-0

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