Quantify the Road Link Performance and Capacity Using Deep Learning Models-Reference-Cited by-同舟云学术

Quantify the Road Link Performance and Capacity Using Deep Learning Models

Published:2022-10 Issue:10 Volume:23 Page:18581-18591
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Huo Jinbiao¹,Wu Xinhua¹,Lyu Cheng¹,Zhang Wenbo¹^ORCID,Liu Zhiyuan¹^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China through the Distinguished Young Scholar Project

Key Project

Ministry of Education in China (MOE) Project of Humanities and Social Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09740508.pdf?arnumber=9740508

Reference65 articles.

1. Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure

2. A highway capacity function in Korea: Measurement and calibration

3. A dynamic traffic assignment model with traffic-flow relationships

4. Multi-task Representation Learning for Travel Time Estimation

5. Capacity restraint in multi-travel mode assignment programs;irwin;Highway Res Board Bull,1962

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