Signal control sub-area division method based on vehicle travelling trajectory data

Abstract

The invention provides a signal control sub-area division method based on vehicle travelling trajectory data. The method comprises the steps that S1, according to the vehicle trajectory data, the average OD flow among intersection pairs of a research area in a time period is calculated and normalized, and based on the operation, an all-communication undirected weighted graph is established; S2, aNewman algorithm is used for dividing a road network to obtain divided initial road network sub areas; S3, a road section dual-direction average density is calculated; S4, a self-adaption dimension NJW algorithm is used for dividing the road network into multiple control sub areas; S5, a scheme capable of obtaining a best evaluation index is selected as a better control sub area division scheme. According to the method, the coordination performance of signal control of intersections in the initial road network sub areas is improved, and an initial division scheme is made for further sub area division for area threshold control in the later period.

Description

technical field [0001] The invention relates to a signal control sub-area division method based on vehicle travel trajectory data, belonging to the technical field of traffic operation and dispatching. Background technique [0002] The supply and demand of traffic flow on the road network are unevenly distributed and mismatched in time and space. In order to reduce the complexity of the traffic control system and improve the efficiency of traffic control, the concept of control sub-area is proposed. The control sub-area is to divide a road network into multiple relatively independent areas according to certain rules, and then implement different control schemes according to the traffic flow characteristics of each area. Each area is called a control sub-area; according to each control Different control schemes are implemented for the traffic flow characteristics of the sub-areas, and the networked coordinated control of the intersections within each sub-area can reduce the d...

AI Technical Summary

Problems solved by technology

[0006] At present, the division of sub-regions is mostly based on the correlation between adjacent intersections, and less consideration is given to the correlation between non-adjacent intersections, resulting in insufficient consideration of the coordination of signal control at intersections within the road network

[0007] Most scholars model the correlation of adjacent intersections based on empirical models, considering factors such as flow, distance, and fleet dispersion. However, the correlation formula is poor in interpretability, and it is difficult to explain the interaction mechanism of various factors. It is also rarely considered and analyzed from the perspective of the macro road network

[0008] Subdivision purely based on intersection correlation or road section vehicle density will easily lead to poor connectivity of divided subdivisions and easy splitting of some ideal subdivisions

[0009] The method of threshold control sub-area division using two-way spectral clustering iteratively is cumbersome and difficult to guarantee the division effect

Images