Traffic Flow
Models
Traffic flow prediction is an important component of traffic modeling, operation, and management. Accurate and timely traffic flow information and forecasting are essential to adaptive traffic control and guidance systems and effectively reduces urban traffic congestions. Additionally, the information provided is used for individual travelers, business sectors, and government agencies. The prediction models used can be divided into parametric and nonparametric models.
Connecting urban transportation systems with the spread of infectious diseases: A Trans-SEIR modeling approach
Xinwu Qian • Satish V.Ukkusuri
Mar 1, 2021
•
Transportation Research Part B: Methodological
Spatio-Temporal Mobility Patterns of On-demand Ride-hailing Service Users
Jiechao Zhang • Samiul Hasan • Xuedong Yan • Xiaobing Liu
Oct 20, 2020
•
arXiv
Artificial Intelligence-Based Vehicular Traffic Flow Prediction Methods For Supporting Intelligent Transportation Systems
Azzedine Boukerche • Yanjie Tao • Peng Sun
Aug 16, 2020
•
Computer Networks
The Scalability Analysis of Machine Learning Based Models in Road Traffic Flow Prediction
Jiahao Wang • Azzedine Boukerche
Jul 27, 2020
•
2020 IEEE International Conference on Communications
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks For Short-Term Traffic Flow Prediction
Haifeng Zheng • Feng Lin • Xinxin Feng • Youjia Chen
Jun 9, 2020
•
IEEE Transactions on Intelligent Transportation Systems
A performance Modeling And Analysis Of A Novel Vehicular Traffic Flow Prediction System Using A Hybrid Machine Learning-Based Model
Azzedine Boukerche • Jiahao Wang
May 30, 2020
•
Ad Hoc Networks
Machine Learning-Based Models for Real-time Traffic Flow Prediction in Vehicular Networks
Peng Sun • Noura Aljeri • Azzedine Boukerche
Apr 8, 2020
•
IEEE Network
A Deep-Learning Model For Urban Traffic Flow Prediction With Traffic Events Mined From Twitter
Aniekan Essien • Ilian Petrounias • Pdero Sampaio • Sandra Sampaio
Mar 14, 2020
•
World Wide Web
Traffic Flow Prediction Via Spatial Temporal Graph Neural Network
Xiaoyang Wang • Yao Ma • Yiqi Wang • Wei Jin • Xin Wang • Jiliang Tang • Caiyan Jia • Jian Yu
Jan 4, 2020
•
WWW '20: The Web Conference 2020
Influence of CAV Clustering Strategies On Mixed Traffic Flow Characteristics: An Analysis Of Vehicle Trajectory Data
Zigia Zhong • Earl E. Lee • Joyoung Lee • Mark Nejad
Jan 3, 2020
•
Transportation Research Part C: Emerging Technologies
Short Term Traffic Flow Prediction Using Machine Learning - KNN, SVM And ANN With Weather Information
Faysal Ibna Rahman
Jan 1, 2020
•
International Journal for Traffic and Transport Engineering