Distributed model predictive control method for urban road network system based on neighborhood optimization

Abstract

The invention relates to a distributed model predictive control method for an urban road network system based on neighborhood optimization. The distributed model predictive control method comprises the following steps: 1) establishing a road section mathematical model; 2) establishing an urban traffic network system model and an urban traffic road network system distributed model: introducing a control component G (k) on the basis of the road section model and performing decomposition and deformation on the road network system model to obtain the road network system distributed model; 3) establishing performance indexes and constraint conditions of each subsystem and constructing subsystem performance indexes based on the neighborhood optimization; 4) firstly calculating a local optimal control variable through each subsystem, continuously iterating through performing information exchange with a neighborhood subsystem according to a Nash game theory principle to enable the whole system to converge Nash equilibrium points at last and obtaining a Nash optimal control input quantity at the same time. The distributed model predictive control method is simple and clear, convenient to realize and better in control effect and improves the traffic congestion conditions in the urban road network system under a saturated or supersaturated state.

Description

technical field [0001] The invention relates to the field of urban road networks, in particular to an optimization method for saturated or oversaturated large-scale urban road network systems. Background technique [0002] Transportation has become an important feature of human civilization. But since the second half of the 20th century, with the increase of the number of vehicles and the improvement of transportation requirements, traffic congestion has become an important factor hindering social and economic development. Traffic congestion will bring a series of problems: the extension of vehicle waiting time; the reduction of driving safety factor; the aggravation of environmental pollution. The congestion problem is especially prominent in the urban road network system, and due to the non-scalability of urban infrastructure, the traditional solution (road expansion) will become more and more difficult. Therefore, we need to use an effective control method to control th...

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Problems solved by technology

[0006] In order to solve the problems of non-real-time timing control, centralized control complexity, and strong coupling relationship between adjacent intersections in the urban road network system, the present invention provides a simple, easy-to-implement, and better control effect based A real-time distributed predictive control method for macroscopic road network topology models to improve traffic congestion in urban road network systems under saturated or oversaturated conditions

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