Highway coordination control method in foggy weather based on cellular automaton model

Abstract

The invention discloses a highway coordination control method in foggy weather based on a cellular automaton model. According to the control method, a highway system composed of a multi-entrance ramp,a main line, an interchange overpass intersecting with other highways, visibility detection equipment, a wide-area radar, video acquisition and the like is used as an application object, the CAM of all road sections in foggy weather is established according to the technical characteristics of the highway, the maximum speed limit value and the maximum allowable flow of each road section under different visibility are determined, and the maximum speed limit value of each road section and the optimal vehicle release amount of each entrance ramp are determined according to the weather and the information acquired by a traffic flow detection sensing system during specific implementation. On the premise that the traffic safety of the highway is guaranteed, refined fusion management and controlmeasures are implemented, the requirement for quasi-all-weather highway passing is met, the traffic flow of the highway is increased, and unnecessary ramp queuing time is shortened.

Description

technical field [0001] The invention relates to the technical field of traffic management and control, in particular to an intelligent coordinated control method based on a cellular automata model for the fusion of main lines and ramps of highways in foggy weather. Background technique [0002] Low visibility in foggy days can easily cause traffic accidents, especially on fast expressways. Traditionally, expressway management departments have taken various measures in low-visibility weather, such as closing the expressway when the visibility is lower than 30m, etc. to control traffic; but this kind of traffic control measures is rough and has the following problems: Speed ​​limits, road closures and other means are used, and flow restrictions (diversion guidance) are partially added; second, although these measures are generally reasonable, they cannot be determined by foggy traffic flow models based on the geometry of each road section, traffic flow characteristics, and lar...

AI Technical Summary

Problems solved by technology

Traditionally, expressway management departments have taken various measures in low-visibility weather, such as closing the expressway when the visibility is lower than 30m, etc. to control traffic; but this kind of traffic control measures is rough and has the following problems: Speed ​​limits, road closures and other means are used, and flow restrictions (diversion guidance) are partially added; second, although these measures are generally reasonable, they cannot be determined by foggy traffic flow models based on the geometry of each road section, traffic flow characteristics, and large data samples. more refined engineering technical standards for intelligent management and control; third, there are fewer segmented coordinated controls, and the distance between road segments using the same standard is relatively long

The shortcomings of the above-mentioned method of speed limitation and speed induction are: it is limited to the control and induction of the main line speed of the vehicle, and does not involve on-ramp flow control, nor does it involve highways composed of multiple sections and different road geometries in different visibility conditions. The coordination problem of the control strategy under

The disadvantage is that the research object is limited to a section of 1km straight expressway, without taking into account high-speed road sections such as curves, up and down longitudinal slopes in mountainous areas, and situations such as one-way 2-lane and 4-lane, etc. In line with reality (in fact, the control variable can only be adjusted through a single or multiple entrance ramps upstream), does not involve coordination between multiple entrance ramps, does not involve coordination between different road sections even between two entrance ramps

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