Urban congestion area road network double-layer boundary control method

Abstract

The invention discloses an urban congestion area road network double-layer boundary control method. A road network microscopic simulation model is established by adopting taxi GPS data and on-site survey data, and meanwhile, a road network macroscopic fundamental diagram (MFD) is constructed. On the basis, first, the expected total entry amount of the road network is determined according to a roadnetwork boundary control method (first-layer control) containing control delay; then, the control intersections are expanded into a virtual subarea road network according to a certain mode, and a road network total entry amount distribution method (second-layer control) is developed by taking the reduction of the road network density distribution variance as a control objective and considering queuing overflow control generated by road network total entry amount control. Compared with a common boundary control method, the control total amount distribution optimization control method is stable, effectively improves road network performance, avoids queuing overflow of the road network due to control, and has practical engineering application value.

Description

technical field [0001] The invention belongs to the field of regional road network traffic control, and specifically relates to a regional road network boundary total amount control and a road network expected entry total amount allocation optimization method including control delay, that is, a regional road network double-layer boundary control method. Background technique [0002] The problem of urban traffic congestion in my country is becoming increasingly serious, and the scope of congestion has gradually expanded from a single intersection and road section to a regional road network. In order to solve the increasingly systematic and global problem of urban traffic congestion, it is urgent to explore real-time traffic control methods at the road network level. [0003] In recent years, scholars at home and abroad have proposed a network-level macro basic diagram (MFD) with reference to the three-parameter basic diagram of traffic flow on road sections. MFD is independe...

AI Technical Summary

Problems solved by technology

However, the distribution method of the total amount of control directly affects the internal density distribution of the road network, and the internal density distribution of the road network has a significant impact on the overall performance of the road network

Regarding the optimal distribution of the total control amount, the existing research has not paid enough attention to key elements such as the selection of the research scope, the target state of the road network density distribution, and the requirements for the entry volume of the road network boundary.

At the same time, the existing research ignores the possible problem of queuing overflow caused by control in the upstream section of the control intersection

This problem directly affects the feasibility of the control scheme in practical applications, and the lack of consideration of this problem will make the control algorithm impractical

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