Automobile queue optimization control method and system

Abstract

The invention discloses an automobile queue optimization control method and system, relates to the technical field of intelligent transportation, and solves the technical problem that an existing automobile queue control method is relatively high in energy consumption. According to the technical scheme, the method is characterized in that based on a workshop information flow topological structure,a discrete kinetic model of a vehicle is constructed only through state information between a front vehicle adjacent to a current vehicle nodeand a pilot vehicle, the distance constraint and the speed constraint in the vehicle queue driving process are converted by adopting a constraint conversion function, so that the calculation complexity is reduced, and the calculation efficiency is improved;and each optimization problem considers a discrete kinetic model, a constraint condition and an energy-saving control target function of each vehicle, the energy consumption economy of the whole vehicle queue is improved, and maximization of the energy consumption economic benefit of the vehicle queue is ensured on the basis of ensuring the safety of the vehicle queue.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent transportation, in particular to a method and system for optimal control of vehicle platooning. Background technique [0002] The intelligent vehicle queue control technology refers to forming a queue of intelligent vehicles driving on the road, and through the environment perception technology, the vehicles in the queue can obtain the surrounding environment and road information. Communication technology realizes the sharing of vehicle status information between vehicle platoons, and based on this, completes the control of individual vehicle nodes in the platoon, and achieves a coordinated control technology for the stable driving of vehicle platoons as a whole. It is of great research significance to improve the overall energy consumption and economy of vehicles. [0003] Queue stability and queue energy-saving effect are two key performance indicators of intelligent vehicle platoo...

AI Technical Summary

Problems solved by technology

When the platoon encounters disturbances, the changing vehicle speed may affect its energy efficiency. However, most common vehicle platoon control methods are based on the fact that the vehicles in the platoon follow the lead vehicle and track the speed of the lead vehicle in real time. The phenomenon of unnecessary acceleration and deceleration increases, which leads to an increase in the energy consumption of the entire queue

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