A method for calculating phase duration of rasterized signals at intersections in a vehicle-road collaborative environment

Abstract

The invention discloses a method for calculating the signal phase duration of a non-separable vehicle queue at a single-point signal intersection in a vehicle-road collaborative environment based on the internal space rasterization of the intersection. This method is: in a vehicle-road collaborative environment, vehicles exchange data and information with surrounding vehicles and roadside facilities through vehicle-vehicle / vehicle-road communication, and at the same time use the obtained vehicle real-time position, driving speed, acceleration and other data to Intersection internal space rasterization technology calculates the time it takes for a vehicle queue to safely pass through the intersection conflict point, and uses this as the basis for calculating the signal control phase time length. The present invention proposes a method for calculating the phase time length of an urban single-point signal intersection, which can make full use of the internal time and space resources of the intersection, effectively improve the traffic operation efficiency at the intersection, and enable vehicles in all directions to avoid conflicts and pass through the intersection efficiently and orderly. mouth.

Description

technical field [0001] The invention relates to the technical field of vehicle-road cooperative driving control, in particular to a method for calculating the signal phase duration of an inseparable vehicle queue at a single-point signalized intersection in a vehicle-road collaborative environment based on the internal space grid of the intersection. Background technique [0002] In recent years, with the rapid development of the economy and the acceleration of urbanization and industrialization, the number of motor vehicles is also increasing. Relevant data show that the number of motor vehicles in my country has exceeded 280 million and is still growing at a high speed. As a result, a series of problems such as aggravated environmental pollution, increased number of traffic accidents, and traffic congestion have emerged. At present, traffic congestion in my country has spread from super-large cities such as Beijing, Shanghai, and Guangzhou to provincial capitals and even se...

AI Technical Summary

Problems solved by technology

[0004] Based on the analysis of the existing research, the results show that most of the current signal control models at single-point intersections in the vehicle-road collaborative environment are constructed with a single vehicle as the object, and vehicles are not organized into fleets.

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