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智能网联汽车的车队跟驰模型及仿真研究

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随着智能网联汽车的发展,车辆的智能化和网联化已经成为明确的发展趋势,新业态下如何实现安全与高效的交通管理与控制是亟需解决的问题.为了研究智能网联环境下的车队跟驰,探索基于规则的车辆队列形成机制,以"尽量靠近"、"速度一致"和"避免碰撞"3 条智能网联环境下车辆的交互规则为基础,基于最小安全距离模型构建出一种面向智能网联汽车的车队跟驰模型.以乘坐舒适性和行程时间作为模型的综合评价指标,建立数学模型并进行多目标优化求解;在SUMO仿真软件中编程实现车队跟驰模型和优化求解算法,对两辆车和五辆车的交通场景进行仿真研究.仿真试验的结果表明:后跟随车辆在跟随其相邻前导车做跟驰运动的过程中,车辆能够以较短时间、以相同速度并保持最小安全距离跟随前导车行驶,同时能够满足乘坐舒适性和行程时间最优.仿真试验不仅验证了所提车队跟驰模型的可行性,而且也验证了该模型具备成为智能网联环境下跟驰车队形成机制的科学性.为进一步说明所提模型的优势特性,在保证同等仿真条件的情况下,进行了CACC形成车队的仿真试验,对仿真结果进行对比分析可知,依据所提车队跟驰模型行驶的车辆,在形成车队的跟驰运动中行驶更加稳定,从而保证了整个车队的行驶稳定性.
Platoon Following Model and Simulation of Intelligent Connected Vehicles
With the development of intelligent connected vehicles,the intelligent and connected vehicles become the definite development trend.How to achieve safe and efficient traffic management and control in new industry model is an urgent issue.To study the platoon following in the intelligent connected environment and explore the rule-based vehicle queue formation mechanism,a platoon following model for intelligent connected vehicles was constructed based on the minimum safe distance model.The model based on 3 pieces of vehicle interaction rules:as close as possible,consistent speed,and collision avoidance.The model was established to perform the multi-objective optimization solving by using ride comfort and travel time as the comprehensive evaluation indicators.The platoon following model and optimization solving algorithm were programmed in SUMO simulation software.The simulation study was conducted for two-vehicle and five-vehicle traffic scenarios.The result indicates that the following vehicle can be in short time,at same speed,and keeping the minimum safety distance in the process of following the adjacent leading vehicle.It can simultaneously meet the requirements of riding comfort and optimal travel time.The simulation tests not only verify the feasibility of proposed platoon following model,but also validate the model scientific validity as the platoon fleet formation mechanism in the intelligent connected environment.To further illustrate the advantages of proposed model,the simulation tests of CACC platoon formation were conducted under the same simulation conditions.The comparative analysis on simulation result shows the vehicles driving more stably with the proposed platoon following model,thus ensuring the driving stability of whole platoon.

intelligent transportplatoon following modelintelligent optimization algorithmintelligent connected vehiclesSUMO simulation

柳祖鹏、谢晓峰、陈玲娟

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武汉科技大学 汽车与交通工程学院,湖北 武汉 430065

智能交通 车队跟驰模型 智能优化算法 智能网联汽车 SUMO仿真

2024

公路交通科技
交通运输部公路科学研究院

公路交通科技

CSTPCD北大核心
影响因子:1.007
ISSN:1002-0268
年,卷(期):2024.41(12)