The invention belongs to the field of carbon emission reduction of intelligent networked automobiles, and particularly relates to an intelligent networked automobile carbon emission reduction method based on C-V2X vehicle-road cooperation. Comprising the following steps: jointly acquiring road traffic information and vehicle information by a road side unit RSU and a vehicle; a road side unit (RSU) forms a vehicle queue by vehicles entering a lane-changing-incapable area on a single lane in front of a traffic intersection according to road traffic information and vehicle information, and appoints a vehicle closest to the intersection as a main vehicle HV; the road side unit RSU obtains a decision-making model through training based on a deep reinforcement learning model, and outputs the most economical driving action a of the vehicle according to the road information and the information of the main vehicle; the reward function used for training is designed for improving the passing speed of the vehicle and avoiding frequent acceleration and deceleration and vehicle collision; each vehicle performs carbon emission reduction driving according to the driving action. By optimizing the vehicle driving behavior, the traffic efficiency is improved, and the emission of carbon dioxide in the vehicle driving process is reduced.
本发明属于智能网联汽车碳减排领域,特别涉及一种基于C‑V2X车路协同的智能网联汽车碳减排方法。包括由路侧单元RSU和车辆共同获取道路交通信息以及车辆自身信息;路侧单元RSU根据道路交通信息和车辆自身信息,将交通路口前单一车道上进入不可换道区域内的车辆组成车辆队列,并指定其中距离路口最近的车辆为主车HV;路侧单元RSU利用基于深度强化学习模型训练得到决策模型,根据道路信息和主车的自身信息输出车辆最经济行驶动作a;用于训练的奖励函数以提高车辆通过速度,同时避免频繁的加减速和车辆碰撞为目的设计;各车辆以该行驶动作为依据实施碳减排行驶。通过对车辆驾驶行为进行优化,提升交通效率,减少车辆行驶过程中二氧化碳的排放。
Intelligent network connection automobile carbon emission reduction method based on C-V2X vehicle-road cooperation
一种基于C-V2X车路协同的智能网联汽车碳减排方法
2024-06-14
Patent
Electronic Resource
Chinese
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