Heavy truck driving safety analysis system based on big data technology

Dianhui Wang; Zijian Zhang; Xin Zhou; Zhuangzhuang Tian; Tao Sun; Jianyu Guo; Meng Li; Fangyi Li; Li Jianyong

doi:10.1117/12.2652763

10 November 2022 Heavy truck driving safety analysis system based on big data technology

Dianhui Wang, Zijian Zhang, Xin Zhou, Zhuangzhuang Tian, Tao Sun, Jianyu Guo, Meng Li, Fangyi Li, Li Jianyong

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123310R (2022) https://doi.org/10.1117/12.2652763
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

The development of social information technology provides technical support for the arrival of the big data era. Big data and its related technologies have been gradually integrated into people's lives. Conducting big data technology and data mining technology, this paper adopts the vehicle networking scheme in vehicle driving, that is, each vehicle is connected to a data center, and analyzes the driving safety on the basis of a large number of vehicle driving data. The algorithm can be subdivided into three steps: data acquisition, using time series analysis method to obtain driving indicators, and classification and processing of various indicators by clustering algorithm. Through data mining technology and driving safety algorithm, the risk factors in the process of vehicle driving can be found in time, so as to ensure vehicle driving safety.

Citation Download Citation

Dianhui Wang, Zijian Zhang, Xin Zhou, Zhuangzhuang Tian, Tao Sun, Jianyu Guo, Meng Li, Fangyi Li, and Li Jianyong "Heavy truck driving safety analysis system based on big data technology", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123310R (10 November 2022); https://doi.org/10.1117/12.2652763

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