Congestion control policy recommendation method and system based on real-time traffic capacity

Abstract

The application provides a congestion control policy recommendation method and system based on real-time traffic capacity. The method comprises the following steps: realizing lane traffic capacity real-time computation based on transportation big data, and then monitoring the lane traffic capacity in real time to realize real-time alarm of the road congestion, and helping traffic administrative department quickly analyze a congestion reason and recommending a control policy through an AI algorithm. The large-scale, high-efficiency and real-time computation problem of the traffic capacity is effectively solved, the road supply-demand relation is reasonably analyzed, the congestion real-time alarm and the control policy quick recommendation are realized, thereby timely and accurately relieving transportation congestion

Description

technical field [0001] The invention relates to the field of intelligent traffic engineering, in particular to a method and system for recommending congestion control strategies based on real-time traffic capacity. Background technique [0002] Domestic research on road traffic capacity mainly focuses on the factors affecting traffic capacity and the degree of influence of these factors on road traffic capacity, the calculation methods of different types of road traffic capacity, and the evaluation of road service level. However, research on calculating the traffic capacity of roads and mastering the traffic operation status of road networks through traffic big data is relatively rare. [0003] Urban road traffic arteries support the entire urban road network, and intersections, as joints connecting arteries, directly affect the operation of the road network. If the capacity of an intersection is insufficient and congestion occurs, resulting in the accumulation of traffic f...

AI Technical Summary

Problems solved by technology

If the traffic capacity of an intersection is insufficient and congestion occurs, resulting in the accumulation of traffic flow, the congestion will spread to the surroundings, causing more intersections to be congested

The existing traffic control methods are mainly based on the on-site control of the signal timing personnel with experience, which is time-consuming and laborious, and it is often difficult to solve the congestion problem quickly

[0004] The traffic capacity of the intersection is composed of the traffic capacity of lanes with different functions. If the real-time traffic capacity operation of different road objects cannot be accurately judged, the regulation strategy formulated may not achieve the expected results, or even have negative effects.

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