Reverse deduction of vehicle group situation based on dynamic Bayesian network-Reference-Cited by-同舟云学术

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Reverse deduction of vehicle group situation based on dynamic Bayesian network

Published:2018-03 Issue:3 Volume:10 Page:168781401774770
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Wang Xiaoyuan¹²,Wang Jianqiang²,Liu Yaqi¹³,Liu Zhenxue³,Wang Jingheng⁴

Affiliation:

1. College of Electromechanical Engineering, Qingdao University ofScience & Technology, Qingdao, China

2. State Key laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China

3. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China

4. Shandong Zibo Experimental High School, Zibo, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814017747708

Reference15 articles.

1. Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments

2. Dynamic Feature Extraction Method of Driver's Propensity under Complicated Vehicle Group

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