Vehicle Trajectory Prediction Considering Driver Uncertainty and Vehicle Dynamics Based on Dynamic Bayesian Network-Reference-Cited by-同舟云学术

Vehicle Trajectory Prediction Considering Driver Uncertainty and Vehicle Dynamics Based on Dynamic Bayesian Network

Author:

Jiang Yuande¹^ORCID,Zhu Bing²^ORCID,Yang Shun³,Zhao Jian²^ORCID,Deng Weiwen⁴

Affiliation:

1. Department of Information Engineering, Chang’an University, Xi’an, China

2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China

3. AIForceTech Technology Company Ltd., Beijing, China

4. Department of Transportation Science and Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National 111 Project of China’s Higher Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference39 articles.

3. Freeway traffic shockwave analysis: Exploring the NGSIM trajectory data;lu;Proc 86th Annu Meeting Transp Res Board,2007

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