Abstract
With the rapid development of information and communication technology, future intelligent transportation systems will exhibit a trend of cooperative driving of connected vehicles. Platooning is an important application technique for cooperative driving. Herein, optimized car-following models for platoon control based on intervehicle communication technology are proposed. On the basis of existing indicators, a series of evaluation methods for platoon safety, stability, and energy consumption is constructed. Numerical simulations are used to compare the effects of three traditional models and their optimized counterparts on the car-following process. Moreover, the influence of homogenous and heterogeneous attributes on the platoon is analyzed. The optimized model proposed in this paper can improve the stability and safety of vehicle following and reduce the total fuel consumption. The simulation results show that a homogenous platoon can enhance the overall stability of the platoon and that the desired safety margin (DSM) model is better suited for heterogeneous platoon control than the other two models. This paper provides a practical method for the design and systematic evaluation of a platoon control strategy, which is one of the key focuses in the connected and autonomous vehicle industry.
Highlights
A number of traffic problems, such as traffic congestion, road safety, energy consumption and pollution, pose major challenges to human productivity and life
Compared with the traditional car-following model, the optimized model based on intervehicle communication (IVC) provides a better time headway (TH) and safety margin (SM)
Cooperative driving of connected vehicles is becoming a new trend of intelligent transportation systems
Summary
A number of traffic problems, such as traffic congestion, road safety, energy consumption and pollution, pose major challenges to human productivity and life. The increase in vehicle ownership places higher demands on road capacity, traffic safety, and efficiency. With the rapid development of information and communication technology (ICT), vehicles can realize real-time information transmission through the Internet of Vehicles technology. Future intelligent transportation systems will exhibit a trend of cooperative driving of connected vehicles. The adaptive cruise control (ACC) system is one of the most widely used advanced driver assistance systems. This system uses sensors to measure the intervehicle distance and adjusts the speed of the vehicle to maintain the required distance
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