A Review of Traffic Congestion Prediction Using Artificial Intelligence
In recent years, traffic congestion prediction has led to a growing research area, especially of machine learning of artificial intelligence (AI). With the introduction of big data by stationary sensors or probe vehicle data and the development of new AI models in the last few decades, this research...
Saved in:
Main Authors: | Mahmuda Akhtar, Sara Moridpour |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/8878011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Data Science Technologies in Intelligent Prediction of Traffic Congestion
by: Xu Yang, et al.
Published: (2019-01-01) -
Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation
by: Younus Hasan Taher, et al.
Published: (2025-01-01) -
Evaluation of Shared Space to Reduce Traffic Congestion
by: Colin Frosch, et al.
Published: (2019-01-01) -
Congestion Control for Mixed-Mode Traffic with Emission Cost
by: Ya Li, et al.
Published: (2020-01-01) -
Avoidance Traffic Congestion Through Smart Transportation Approach
by: Chenguang Wang
Published: (2022-12-01)