A multi-source data-driven intelligent control method for expressway on-ramps

Abstract

The invention discloses an intelligent control method for an expressway entrance ramp driven by multi-source data, which overcomes the problems of the prior art that the equipment cannot be fully covered, the failure rate is high, and the later maintenance cost is high, including the ideal running speed calibration of the main line, short-term traffic There are five steps in flow forecasting, on / off determination of ramp signal lights, adjustment of ramp allowable merging ratio, and generation of ramp signal control schemes. The invention provides an intelligent control method for a single ramp that integrates traditional detection equipment and Internet data, and at the same time considers that the ramp does not need to use signal control, so that the overall control algorithm achieves a good control effect, thereby ensuring that the main line of the expressway runs at the best Near the state, maintain a steady-state traffic flow that is neither interrupted nor congested on the expressway, which improves the universality and avoids the overflow phenomenon of ramp queuing.

Description

technical field [0001] The invention relates to the technical field of urban traffic control, in particular to an intelligent control method for an expressway entrance ramp driven by multi-source data. Background technique [0002] As the aorta of urban roads, urban expressways are very attractive to travelers and are the primary choice for urban traffic travel. However, due to the oversaturated traffic flow situation faced by urban expressways, it is urgent to study how to effectively alleviate the traffic congestion of urban expressways. Ramp control, as one of the main means of active management and control of urban expressways, gives priority to the traffic flow of the main road of the expressway, and regulates and controls the vehicles that merge into the main road to ensure the smooth flow of the main road, so as to realize the traffic flow of the main road of the expressway. stable and orderly. [0003] The classic ramp control ALINEA algorithm takes the main line o...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problems that the equipment in the prior art cannot be fully covered, the failure rate is high, and the maintenance cost is high in the later period, and provides a multi-source data-driven intelligent control method for the entrance ramp of the expressway, while considering that the ramp does not need to use signal control The situation makes the control algorithm achieve a good control effect as a whole, so as to ensure that the main line of the expressway runs near the optimal state, and maintain a steady-state traffic flow that is neither interrupted nor congested on the expressway.

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