Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Dalian University of Technology · Dalian University · +1 more institution
Abstract
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic prediction can assist route planing, guide vehicle dispatching, and mitigate traffic congestion. This problem is challenging due to the complicated and dynamic spatio-temporal dependencies between different regions in the road network. Recently, a significant amount of research efforts have been devoted to this area, especially deep learning method, greatly advancing traffic prediction abilities. The purpose of this paper is to provide a comprehensive survey on deep learning-based approaches in traffic prediction from multiple perspectives. Specifically, we first summarize the existing traffic prediction methods,…
Citation impact
- FWCI
- 50.43
- Percentile
- 100%
- References
- 167
Authors
6- XYXueyan YinCorresponding
Dalian University of Technology, Dalian University
- GWGenze Wu
Dalian University of Technology, Dalian University
- JWJinze Wei
Dalian University of Technology, Dalian University
- YSYanming Shen
Dalian University of Technology, Dalian University
- HQHeng Qi
Dalian University of Technology, Dalian University
Topics & keywords
- Computer science
- Deep learning
- Field (mathematics)
- Traffic congestion
- Intelligent transportation system
- Artificial intelligence
- Machine learning
- Data science
- Sustainable cities and communities