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Self-organization method of municipal traffic control signal based on fluid dynamics

A technology of fluid dynamics and urban traffic, applied in the field of self-organization of urban traffic control signals, can solve problems such as complex calculations and difficulties in realizing real-time response control of vehicle flow at intersections

Inactive Publication Date: 2009-08-26
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

[0003] After searching the existing technical documents, it was found that Yang Yupu et al. combined the genetic reinforcement learning algorithm It is used in urban traffic signal control, but the calculation of the algorithm is very complicated, and it is difficult to realize the real-time response control of the traffic flow at the intersection

Method used

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  • Self-organization method of municipal traffic control signal based on fluid dynamics
  • Self-organization method of municipal traffic control signal based on fluid dynamics
  • Self-organization method of municipal traffic control signal based on fluid dynamics

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Experimental program
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Embodiment

[0153] 1. Selection of urban target road network:

[0154] Select a local area in the central urban area of ​​Shanghai as the research object, and abstract it as figure 1 As shown in the area map, the self-organizing virtual network of the actual road corresponding to it is as follows figure 2 shown.

[0155] 2. Set the necessary scenarios for the simulation:

[0156] 1) For each intersection in the entire area, its physical properties such as length and number of lanes are fixed, and the parameters used to characterize the properties of each branch of the intersection are set as global variables in each sub-module.

[0157] 2) As a simulation of an open area, the traffic flow enters the system from the boundary area, and the lateral flow and longitudinal flow are set at the same time, which are respectively:

[0158] Horizontal flow = 2000 vehicles / hour, longitudinal flow = 1400 vehicles / hour

[0159] 3) As a non-boundary area, its input and output are completely carried...

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Abstract

The invention relates to a self-organization method of urban traffic control signal based on fluid dynamics, belonging to the technical field of traffic engineering. The invention takes an urban traffic control signal system as transportation network processing, and every crossing is taken as an intelligent body having the functions of autonomous collection and information processing and simultaneously has two sets of cellular automaton for evolution to realize dynamic decision of the traffic signal control at every crossing; on the other hand, by utilizing the natural similarity between traffic flow and fluid flow, the fluid dynamics is introduced based on the cellular automaton to set up equilibrium model of the traffic flow; meanwhile, urban traffic signal self-organization control regulation based on quaternary-phase sequence switch is set out, and traffic crossing phase position decision rule is correspondingly set out, thereby realizing real time decision of a traffic system signal mode. The invention solves the problems of nondeterminacy and unbalanced traffic flow existing in the urban traffic control, so as to improve the performance and real-time property of the urban traffic control system.

Description

technical field [0001] The invention relates to a control method in the technical field of transportation, in particular to a fluid dynamics-based self-organization method for urban traffic control signals. Background technique [0002] From the perspective of urban traffic signal control methods and application technologies, the current background technologies of urban traffic signal control mainly include simplified methods from the perspective of large systems, intelligent methods from the perspective of artificial intelligence, and complexity methods from the perspective of self-organization. The simplification method based on the view of the large system has many factors to consider, the calculation amount is too large, the dimension is high, it is difficult to realize real-time control, and there is a problem of abandoning the essence of the complexity of urban vehicle flow traffic control. The actual application effect Very unsatisfactory. In the traffic system contr...

Claims

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Application Information

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IPC IPC(8): G08G1/07G08G1/081
Inventor 王安麟姜涛胡亮善盈盈杨兴虞晓华
Owner TONGJI UNIV
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