Chapter
Dec 14, 2021
Bayes Neural Network with a Novel Pictorial Feature for Transportation Mode Recognition Based on GPS Trajectories
Authors: Peng Weng [email protected], Shaocheng Jia [email protected], Xin Pei [email protected], and Yun Yue [email protected]Author Affiliations
Publication: CICTP 2021
ABSTRACT
Recognizing transportation mode from raw trajectory is a crucial task in transportation, which benefits travel pattern understanding and traffic management. However, difficulties such as small, unbalanced datasets and extracting efficient features from raw trajectory data persist. This paper proposes a novel image-based feature to represent trajectory, since we find that various transportation modes are easily distinguished in image representation, preserving original trajectory information. The feature’s low rank nature also improves overfitting problems. Additionally, due to heavily unbalanced datasets, traditional classifiers, such as support vector machines, are difficult to perform. To mitigate this, we introduce a Bayes neural network, learning a distribution for each parameter instead of a single value. Results show that our novel image-based feature improves the overfitting problem, and the combination of the image-based feature and Bayes neural network achieves competitive performance on all modes, especially obtaining performance improvements on subways and trains by 13.4% and 42.8%, respectively.
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
1Dept. of Automation, Tsinghua Univ., Beijing, China. Email: [email protected]
2Dept. of Automation, Tsinghua Univ., Beijing, China. Email: [email protected]
3Dept. of Automation, Tsinghua Univ.; Beijing National Research Center for Information Science and Technology, Beijing, China. Email: [email protected]
4Tsinghua Holdings Co., Ltd.; Dept. of Automation, Tsinghua Univ., Beijing, 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.