Physics-Aware Learning-Based Vehicle Trajectory Prediction of Congested Traffic in a Connected Vehicle Environment-Reference-Cited by-同舟云学术

Physics-Aware Learning-Based Vehicle Trajectory Prediction of Congested Traffic in a Connected Vehicle Environment

Author:

Yao Handong¹^ORCID,Li Xiaopeng²^ORCID,Yang Xianfeng³

Affiliation:

1. Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL, USA

2. Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, USA

3. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA

Funder

U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy

Vehicle Technologies Office Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference32 articles.

1. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Representations - Conf Track,2015

2. On the importance of initialization and momentum in deep learning;sutskever;Proc 30th Int Conf Mach Learn,2013

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Toward Explainability in Urban Motion Prediction—Survey and Outlook;SAE International Journal of Connected and Automated Vehicles;2024-08-24