Forecasting Traffic Flow Using Machine Learning Algorithms
Author:
Affiliation:
1. Department of Information Systems and Technologies at Transport, Tashkent State Transport University, Tashkent 100093, Uzbekistan
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/70/1/14/pdf
Reference28 articles.
1. Forecasting of Road Traffic Flow Based on Harris Hawk Optimization and XGBoost;Zhang;J. Adv. Math. Comput. Sci.,2022
2. XGBoost-Based Travel Time Prediction between Bus Stations and Analysis of Influencing Factors;Zhu;Wirel. Commun. Mob. Comput.,2022
3. Short-Term Traffic Flow Prediction Based on LSTM-XGBoost Combination Model;Zhang;Comput. Model. Eng. Sci.,2020
4. Bokaba, T., Doorsamy, W., and Paul, B.S. (2022). A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion. Appl. Sci., 12.
5. A Platoon Regulation Algorithm to Improve the Traffic Performance of Highway Work Zones;Cao;Comput. Aided Civ. Infrastruct. Eng.,2021
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