ShanghaiTech University Knowledge Management System
Digital behavioral twins for safe connected cars | |
2018 | |
会议录名称 | 21ST ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS, MODELS 2018 |
页码 | 144-154 |
发表状态 | 已发表 |
DOI | 10.1145/3239372.3239401 |
摘要 | Driving is a social activity which involves endless interactions with other agents on the road. Failing to locate these agents and predict their possible future actions may result in serious safety hazards. Traditionally, the responsibility for avoiding these safety hazards is solely on the drivers. With improved sensor quantity and quality, modern ADAS systems are able to accurately perceive the location and speed of other nearby vehicles and warn the driver about potential safety hazards. However, accurately predicting the behavior of a driver remains a challenging problem. In this paper, we propose a framework in which behavioral models of drivers (Digital Behavioral Twins) are shared among connected cars to predict potential future actions of neighboring vehicles, therefore improving the safety of driving. We provide mathematical formulations of models of driver behavior and the environment, and discuss challenging problems during model construction and risk analysis. We also demonstrate that our digital twins framework can accurately predict driver behaviors and effectively prevent collisions using a case study in a virtual driving simulation environment. |
会议地点 | Copenhagen, Denmark |
收录类别 | EI ; CPCI ; CPCI-S |
语种 | 英语 |
出版者 | Association for Computing Machinery, Inc |
EI入藏号 | 20184806133599 |
EI主题词 | Behavioral research ; Classification (of information) ; Forecasting ; Hazards ; Markov processes ; Risk analysis ; Risk assessment ; Virtual reality |
EI分类号 | Information Theory and Signal Processing:716.1 ; Computer Software, Data Handling and Applications:723 ; Accidents and Accident Prevention:914.1 ; Statistical Methods:922 ; Probability Theory:922.1 ; Social Sciences:971 |
原始文献类型 | Conference article (CA) |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29090 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_江智浩组 |
通讯作者 | Jiang, Zhihao |
作者单位 | 1.Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia; PA, United States 2.School of Computer Science, Carnegie Mellon University, Pittsburgh; PA, United States 3.Toyota InfoTechonology Center Co., Ltd., Tokyo, Japan 4.School of Information Science and Technology, ShanghaiTech University, Shanghai, China |
通讯作者单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Chen, Ximing,Kang, Eunsuk,Shiraishi, Shinichi,et al. Digital behavioral twins for safe connected cars[C]:Association for Computing Machinery, Inc,2018:144-154. |
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