基于碰撞行为预测的智能网联汽车状态控制的研究

陈欣宇 李沁颖

摘要：智能网联汽车状态控制是网联汽车自动化驾驶的关键技术，目前受到了广泛的关注，但存在无法准确预测汽车碰撞行为以及无法对网联汽车状态进行控制的研究难点。针对上述问题，本文结合大数据技术、碰撞行为预测、智能网联汽车的状态控制，以实现车辆的安全驾驶。构建万车事故率、夜间事故比例、人为因素事故三维路面危险程度分析模型对智能网联汽车的碰撞行为进行危险程度划分。同时，通过车辆传感器获取车辆当前驾驶状态信息并结合危险程度划分结果，应用蒙特卡洛模型分析车辆实际行驶过程中的碰撞风险率，根据风险值及危险程度对当前车辆做控制决策，从而有效地降低交通事故发生率，提高车辆驾驶的安全性和有效性。

关键词：智能网联汽车;碰撞行为预测;状态控制

中图分类号：TP311      文献标识码：A

文章编号：1009-3044（2021）35-0077-03

Research on Intelligent Networked Vehicle State Control based on Collision Behavior Prediction

CHEN Xin-yu， LI Qin-ying

（ Jiangxi University of Technology ，Nanchang 330200，China）

Abstract：The state control of intelligent connected vehicle is the key technology for the automatic driving of connected vehicle， which has received extensive attention at present， but there are some difficulties in the research， such as the inability to accurately predict the collision behavior and the inability to control the state of connected vehicle. Aiming at the above problems， this paper combines big data technology， collision behavior prediction and state control of intelligent networked cars to realize safe driving of vehicles. A three-dimension road hazard analysis model， including the accident rate of 10，000 vehicles， the proportion of accidents at night and the human factors， was constructed to divide the collision behaviors of intelligent connected vehicles into hazard degrees. At the same time， through the vehicle sensors vehicle state information and combining with the current driving dangerous levels as a result， the application of monte carlo model analysis in the process of vehicle real driving collision risk， according to the risk value and the danger degree to the current vehicle control decisions， effectively reduce the incidence of traffic accidents， improve the driving safety and effectiveness.

Key words： intelligent network vehicle; collision behavior prediction; state control

1引言

隨着“互联网+”时代的到来，物联网、大数据、云计算等新一代信息技术迅速成长，汽车的智能化，车联网的构建、智能道路交通系统的形成和智慧城市的建设是人民日益增长的美好生活需要的迫切要求。文献[1]指出要推动智能网联汽车产业的发展，就要符合中国国民的需求，同时要在关键技术、车辆安全等方面进行突破。文献[2]提出随着智能网联汽车产业的发展，人为因素是导致交通事故发生的重要原因之一。文献[3]则提出道路交通事故率也是交通事故发生的重要因素。……