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郑讯佳
  Email   zhengxj15@mails.tsinghua.edu.cn 
论文

An integrated architecture for intelligence evaluation of automated vehicles

期刊: Accident Analysis & Prevention  2020
作者: Jianqiang Wang,Wenjun Liu,Jinxin Liu,Yibin Yang,Xunjia Zheng,Heye Huang
DOI:10.1016/j.aap.2020.105681

A probabilistic risk assessment framework considering lane-changing behavior interaction

期刊: Science China Information Sciences  2020
作者: Qing Xu,Xiangbin Wu,Jinxin Liu,Yibin Yang,Xunjia Zheng,Cong Fei,Jianqiang Wang,Heye Huang
DOI:10.1007/s11432-019-2983-0

驾驶人驾驶决策机制遵循最小作用量原理

期刊: 中国公路学报  2020
作者: Huang Heye,Zheng Xunjia,Wang Jianqiang

Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment

期刊: Computer-Aided Civil and Infrastructure Engineering  2019
作者: Qing Xu,Xiaocong Zhao,Jianqiang Wang,Heye Huang,Xunjia Zheng
DOI:10.1111/mice.12507

Assessing performance of collision mitigation brake system in Chinese traffic environment

期刊: Journal of Central South University  2019
作者: Kenji Kodaka,Qing Xu,Jian-Qiang Wang,Xun-Jia Zheng,Zhi-Guo Zhao
DOI:10.1007/s11771-019-4219-z

Objective and Subjective Analysis to Quantify Influence Factors of Driving Risk*

期刊: 2019 IEEE Intelligent Transportation Systems Conference (ITSC)  2019
作者: Sifa Zheng,Qing Xu,Jianqiang Wang,Xunjia Zheng,Yang Li,Heye Huang
DOI:10.1109/itsc.2019.8917382

A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

Over the past decades, there has been significant research effort dedicated to the development of intelligent vehicles and V2X systems. This paper proposes a road traffic risk assessment method for road traffic accident prevention of intelligent vehicles. This method is based on HMM (Hidden Markov Model) and is applied to the prediction of steering angle status to (1) evaluate the probabilities of the steering angle in each independent interval and (2) calculate the road traffic risk in different analysis regions. According to the model, the road traffic risk is quantified and presented directly in a visual form by the time-varying risk map, to ensure the accuracy of assessment and prediction. Experiment results are presented, and the results show the effectiveness of the assessment strategies.

期刊: Sensors  2018
作者: Jianqiang Wang,Heye Huang,Zhiguo Zhao,Hongbo Gao,Di Zhang,Xunjia Zheng
DOI:10.3390/s18124313

A Novel Road Traffic Risk Modeling Approach Based on the Traffic Safety Field Concept

期刊: CICTP 2018  2018
作者: Jianqiang Wang,Jiawei Wang,Xunjia Zheng
DOI:10.1061/9780784481523.026

Driving safety field theory modeling and its application in pre-collision warning system

期刊: Transportation Research Part C: Emerging Technologies  2016
作者: Keqiang Li,Daiheng Ni,Xunjia Zheng,Jian Wu,Jianqiang Wang
DOI:10.1016/j.trc.2016.10.003

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