An intelligent targeted deblocking method for expressway confluence area

Abstract

The present patent relates to an intelligent targeted deblocking method for expressway merging areas, including: step 100, using an automatic unmanned vehicle CAV on the expressway as a detector to sample the state space, and pass multiple independent detection In step 200, the capacity status of the expressway merging area is judged, and if the capacity decreases, a ramp control method is performed. Calculate the traffic flow rate and control the traffic flow of the on-ramp; step 300, compare the traffic density upstream of the expressway with the critical density, if the upstream traffic density is greater than the critical density, use the D4PG algorithm as a differential variable speed limit strategy to output Speed ​​limit strategies for different lanes; Step 400 , through the coordinated optimization control of the ramp control method and the differential variable speed limit, an intelligent targeted blockage dredging strategy is issued to the expressway traffic flow.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic control, and in particular relates to an intelligent targeted blockage removal method oriented to a highway confluence area. Background technique [0002] With the rise of traffic big data and artificial intelligence technology and the rapid development of intelligent vehicles, in the case of excessive traffic demand, traffic congestion is very likely to occur in the merging area, which is the main factor restricting the development of expressway traffic. In recent years, traffic control methods for alleviating highway congestion have achieved remarkable results, but the current research mainly focuses on the main road sections and on-ramps of highways, and lacks effective coordination of the overall road conditions of highways. Especially in the merging area, capacity reduction may occur, that is, the capacity of the bottleneck drops below the normal capacity. Using the existing contr...

AI Technical Summary

Problems solved by technology

In recent years, traffic control methods to alleviate expressway congestion have achieved remarkable results, but current research mainly focuses on expressway main road sections and on-ramps, lacking effective coordination on the overall road conditions of expressways

Especially in the merging area, the capacity may drop, that is, the traffic capacity of the bottleneck drops below the normal traffic capacity. Using the existing control method, setting a unified speed control strategy on the main road section will not be able to accurately eliminate the interference caused by the merging of vehicles

Not only that, but with the intensification of CAV (Connected and Autonomous Vehicle), that is, the mixing of autonomous unmanned vehicles and human vehicles, traditional traffic control strategies are invalidated.

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