Congested road section intelligent network connection vehicle special lane control method based on traffic simulation

Abstract

The invention discloses a congested road section intelligent network connection vehicle special lane control method based on traffic simulation, which comprises the following steps of: acquiring basic traffic parameters such as road section traffic capacity, speed, time headway and the like and correlativity thereof, and detecting road traffic flow density and intelligent network connection vehicle permeability; determining a road section congestion critical condition, and judging a road section traffic state; adjusting the layout scheme of the special road for the intelligent networked vehicles, and calculating the traffic density of the road section and the permeability of the intelligent networked vehicles after the layout scheme of the special road is adjusted; according to the road section traffic density and the intelligent network connection vehicle permeability, simulating the road section traffic flow operation state; and by taking the minimum total passing time of the road vehicles as an optimization target, searching an optimal control parameter, and determining a layout control scheme of the intelligent network connection vehicle special lane of the congested road section. The intelligent network vehicle special lane is adjusted in time, the total traffic capacity of road vehicles is minimum, traffic congestion is relieved, and the operation efficiency of a traffic system is improved.

Description

technical field [0001] The invention relates to a traffic simulation-based intelligent network-connected vehicle lane control method for congested road sections, and belongs to the field of intelligent network-connected traffic management and control. Background technique [0002] With the vigorous development and application of intelligent networked vehicles and wireless communication technologies, the proportion of intelligent networked vehicles in traffic flow continues to increase, and the continuous development of intelligent networked transportation can further optimize the use of road resources, improve traffic safety, and alleviate congestion. [0003] Compared with human-driven vehicles, intelligent networked vehicles have driving characteristics such as shorter headway and higher speed. If their penetration rate is not high, mixing with human-driven vehicles may reduce road traffic capacity and even cause traffic safety problems. The advantages of intelligent netwo...

AI Technical Summary

Problems solved by technology

[0004] However, the fixed dedicated lanes for intelligent networked vehicles cannot adapt to changing traffic flow conditions. When the number of artificially driven vehicles or intelligent networked vehicles increases, traffic congestion will occur in specific lanes, while the saturation of other lanes is low, which will cause waste of road resources.

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