摘要
在车路协同通信技术的支持下,智能网联汽车预测性巡航控制可提前获知未来道路状况和交通环境,通过优化规划车辆速度轨迹,实现节能环保行驶。但是如何有效利用不确定的预测信号,建立适应复杂交通场景的控制策略并保证系统稳定性与可行性,仍面临诸多挑战。针对预测信息不确定性、多目标优化决策难度大等问题,提出车路协同场景下智能网联汽车预测性巡航控制策略,从而实现智能网联汽车在复杂场景下的高效节能巡航。该策略可显著降低油耗,具有良好的工程应用前景。
With the support of vehicle-road cooperation communication technology,predictive cruise control for connected and automated vehicles can obtain advance information about future road conditions and traffic environment.Through optimizing vehicle speed trajectory planning,it can achieve energy-efficient and environmentally friendly driving.However,there are still many challenges in effectively utilizing uncertain prediction signals,establishing control strategies adapted to complex traffic scenarios,and ensuring system stability and feasibility.This paper proposes a predictive cruise control strategy for connected and automated vehicles in vehicleroad cooperation scenarios,addressing the challenges of prediction information uncertainty and multi-objective optimization decisionmaking difficulties.This enables efficient and energy-saving cruise control of connected and automated vehicles in complex scenarios.The proposed strategy can significantly reduce fuel consumption and has promising engineering application prospects.
作者
黄豪平
Huang Haoping(Beibu Gulf Vocational-Technical School,Qinzhou 535000,China)
出处
《专用汽车》
2025年第7期71-73,共3页
Special Purpose Vehicle
关键词
智能网联汽车
预测性巡航控制
车路协同
Connected and automated vehicles
Predictive cruise control
Vehicle-road cooperation
作者简介
黄豪平,男,1997年生,助理讲师,研究方向为智能网联汽车。
