基于移动群智感知的极端驾驶行为感知方法

doi:10.3969/j.issn.1006-2475.2019.07.017

计算机与现代化

基于移动群智感知的极端驾驶行为感知方法

(1.西北工业大学明德学院，陕西西安710124;2.西北工业大学计算机学院，陕西西安710129)

收稿日期:2019-02-26 出版日期:2019-07-05 发布日期:2019-07-08
作者简介:翟书颖(1981-)，女，辽宁沈阳人，讲师，硕士，研究方向：物联网，群智感知，E-mail: zhaisy@npumd.edu.cn; 李茹(1987-)，女，河北石家庄人，讲师，硕士研究生，研究方向：自适应信号处理，E-mail: liru@npumd.edu.cn; 郭阳(1993-)，男，陕西西安人，硕士研究生，研究方向：普适计算，群智感知，E-mail: guoyang@nwpu.edu.cn。
基金资助:
国家自然科学基金资助项目(61772428); 陕西省教育厅专项科研计划项目(18JK1169); 西北工业大学明德学院科研基金资助项目(2017XY02L01)

Detecting Extreme Driving Behaviors Based on Mobile Crowdsensing

(1. Mingde College, Northwestern Polytechnical University, Xi’an 710124, China;
2. School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China)

Received:2019-02-26 Online:2019-07-05 Published:2019-07-08

摘要/Abstract

摘要： 为提高驾驶安全性，减少交通事故的发生，本文提出一种基于移动群智感知的极端驾驶行为识别方法。对收集到的用户智能手机相关传感器的数据进行预处理，进而利用动态步数检测和随机森林等方法来识别乘客的用户情境信息。针对不同的极端驾驶行为，选取不同位置乘客的智能手机来进行数据的收集，综合考虑乘客的手机放置位置因素所造成的相关影响，实现多特征融合的极端驾驶行为感知。针对不同位置的乘客所感知的结果不一致问题，提出采用贝叶斯投票模型来解决。通过真实数据实验，结果表明本文方法能够有效地识别出司机的极端驾驶行为。

关键词: 极端驾驶行为, 情境识别, 移动群智感知, 群体决策

Abstract: In order to improve driving safety and reduce traffic accidents, this paper proposes an extreme driving behavior recognition method based on mobile crowdsensing. The collected data of sensors related to users’ smart phones are preprocessed, and then the context information of passengers is identified by means of the dynamic step number detection and the random forest methods. According to different extreme driving behaviors, smart phones of passengers in different positions are selected for data collection, and the impact of different phone places and multi-feature fusion is also considered in designing the extreme driving behavior detection method. Regarding the potential inconsistency of the results from passengers in different positions, a Bayesian voting model is proposed to solve the problem. Experimental results from real world datasets indicate that our method can effectively identify the extreme driving behavior of drivers.

Key words: extreme driving behavior, context recognition, mobile crowdsensing, group decision

中图分类号:

TP391

翟书颖1，李茹1，郭阳2. 基于移动群智感知的极端驾驶行为感知方法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2019.07.017.

ZHAI Shu-ying1, LI Ru1, GUO Yang2. Detecting Extreme Driving Behaviors Based on Mobile Crowdsensing[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2019.07.017.

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基于移动群智感知的极端驾驶行为感知方法

Detecting Extreme Driving Behaviors Based on Mobile Crowdsensing

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