Urban trunk road two-way green wave control optimization method based on road section speed interval

Abstract

The invention discloses an urban trunk road two-way green wave control optimization method based on a road section speed interval. Through historical vehicle driving speed data, a driving speed fluctuation interval is quantized, and phase green time is coordinated and phase difference parameters are optimized in a condition in which the vehicle speed is uneven. On the basis of fully considering road section speed stochastic fluctuation and non-coordinated phase passing requirements, a trunk road two-way coordination control optimization method with maximization of a green wave band width between adjacent two crossings as a target is brought forward, overlapping test is carried out, and thus a phenomenon that the green wave band may be broken can be prevented. Defects that an average vehicle speed assumption is adopted traditionally, and unevenness of the vehicle speed is neglected are overcome, the trunk road traffic flow operation efficiency can be effectively enhanced, operability of actual applications can be ensured due to good practicality features, and positive significance is provided for building an urban road traffic signal control optimization system and enhancing an urban traffic management and control level.

Description

technical field [0001] The invention relates to the field of traffic signal control, in particular to an optimization method for two-way green wave control of urban arterial lines based on road section speed intervals. Background technique [0002] With the continuous growth of urban road traffic flow and the continuous increase of road network density, it is difficult to realize the transfer of congestion in time and space simply by traffic control on a single intersection. Control optimization method has gradually become an important means of traffic management and control. The one-way coordinated control of urban road arteries only needs to consider the signal coordination in one direction, so it is easier to achieve the matching of the speed range of the road section and the coordination phase. Aiming at the shortcomings of the existing arterial traffic signal control method using the average vehicle speed to design the green wave zone, the arterial coordinated control ...

AI Technical Summary

Problems solved by technology

However, this method still uses the average speed on a road section when designing the speed of the green wave belt, which does not fundamentally meet the requirements of random fluctuations in vehicle speed

The main disadvantages of the artificial intelligence method based on the coordinated control optimization method of arterial traffic signals are that the amount of data required is too large and the restrictions are too large, and the calculation time is too long, which makes it difficult to update the optimization model, which greatly affects its application in the actual traffic signal control system. application in

Moreover, when constructing an optimal control model in traditional methods, the coordinated phase is often the primary consideration, and the only optimization goal is to maximize the green wave bandwidth or minimize the "cost" of the entire trunk line, without taking into account the traffic requirements of non-coordinated phases , and the optimization goal of maximizing green wave bandwidth or minimizing "cost" between adjacent intersections is not considered, which greatly affects the effective utilization of green light time

Images