Chapter
Dec 14, 2021
Traffic Prediction with Graph Neural Network: A Survey
Publication: CICTP 2021
ABSTRACT
Traffic prediction plays an important role in intelligent transportation systems. Accurate traffic forecasting can make for better traffic management and alleviate traffic problems, such as traffic congestion and traffic pollution. Graph data structure can well express the topology structure of traffic network, so graph model has more development space in the field of traffic prediction. The main purpose of this paper is to provide a comprehensive survey for the graph neural network in the field of traffic prediction. First, the graph model framework was divided into four categories, namely graph convolution networks, graph attention networks, graph auto-encoders and graph generative networks. Then, related literatures are introduced around the four frames. Finally, suggestions on the future development direction of the graph neural network are given.
Get full access to this article
View all available purchase options and get full access to this chapter.
Information & Authors
Information
Published In
History
Published online: Dec 14, 2021
Permissions
Request permissions for this article.
Authors
Affiliations
1School of Transportation, Southeast Univ., Suzhou, China. Email: [email protected]
2School of Transportation, Southeast Univ., Nanjing, China. Email: [email protected]
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
View Options
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.