A Dual-Flow Attentive Network With Feature Crossing for Chained Trip Purpose Inference-Reference-Cited by-同舟云学术

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A Dual-Flow Attentive Network With Feature Crossing for Chained Trip Purpose Inference

Published:2023-01 Issue:1 Volume:24 Page:631-644
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Lyu Suxing¹^ORCID,Han Tianyang²^ORCID,Li Peiran¹^ORCID,Luo Xingyu³,Kusakabe Takahiko¹

Affiliation:

1. Center for Spatial Information Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan

2. Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

3. Department of System Biology, George Mason University, Fairfax, VA, USA

Funder

Joint Research Program at CSIS, The University of Tokyo

Japan Science and Technology Agency (JST) Spring

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10026638/09928419.pdf?arnumber=9928419

Reference54 articles.

1. Can using global positioning system (GPS) improve trip reporting?

2. Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization

3. Real-time trip purpose prediction using online location-based search and discovery services

4. Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data

5. Exploring bikesharing travel time and trip chain by gender and day of the week

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