智能车联网下车辆换道安全距离预警仿真
Simulation of Safe Distance Warning for Vehicle Lane Changing under Intelligent Vehicle Networking
王运玲 1张孝友1
作者信息
- 1. 河南科技大学车辆与交通工程学院,河南 洛阳 471003
- 折叠
摘要
车辆换道过程中涉及横向、纵向的加减速等控制,若驾驶员没有充分考虑到周围车辆的位置和速度,会导致追尾、刮撞等事故的发生.为了提升车辆换道安全性,提出智能车联网下车辆换道安全性预警方法.通过搭建换道车辆横向速度、位移数学模型,基于车辆行驶运动学理论、位移函数,建立最小纵向安全距离数学模型,计算抛物线、导函数得出后车与目标车道上前车、后车最小安全距离.当自车与后车间距离小于安全距离时,存在追尾风险,系统会发出预警信息;当自车与目标车道前、后车间距小于安全距离时,存在刮碰风险,系统也会发出预警信息.实验结果表明,所提方法能够在实际安全距离内发出预警信息,有效解决车辆换道交通安全问题,并且预警系统响应时长保持在 5ms内.
Abstract
The process of changing lanes involves lateral and longitudinal acceleration and deceleration control.If the driver does not fully consider the position and speed of surrounding vehicles,it can lead to rear end collisions,scrapes,and other accidents.In order to improve the safety of vehicle-lane changing,an early warning method under intelligent Internet of Vehicles was proposed.Firstly,a mathematical model of lateral speed and displacement of lane-changing vehicles was built.Based on driving kinematics theory and displacement function,a minimum longitudinal safe distance mathematical model was constructed.Secondly,the parabola and derivative function were calculated to obtain the minimum safe distance between the following vehicle and the front and rear vehicles on the target lane.When the distance between the target vehicle and the following vehicle is less than the safe distance,there is a risk of rear-end collision,and the system will issue a warning message.When the distance between the target vehicle and the front and rear vehicles on the target lane is less than the safe distance,there is a scraping risk,and the system will al-so issue a warning message.The experimental results show that the proposed method can issue a warning message within the actual safe distance,which effectively solves the problem of vehicle-lane changing safety.And the response time of the early warning system is kept within 5ms.
关键词
智能车联网/车辆换道/加速度/减速度/最小安全距离/安全预警Key words
Intelligent Internet of Vehicles/Vehicle-lane changing/Acceleration/Deceleration/Minimum safety distance/Warning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据