Urban network traffic flow simulation model based on lane group and intersection vehicle stream path

Abstract

The invention discloses an urban network traffic flow simulation model based on lane group and intersection vehicle stream path lane group and intersection vehicle stream. The model is based on a lane group-based macroscopic traffic flow model, and a lane group vehicle stream shifting-in process in the model is simplified; according to the deficiencies of the traffic operation description simulation of the traffic impediment of an intersection caused by the overflow of traffic flow of the intersection of a lane group-based macroscopic traffic flow model, the concept of an in-intersection vehicle stream path is put forward according to a principle that a traffic flow shifts in and shifts out from a lane group; a traffic flow shift-in and shift-out process on the in-intersection vehicle stream path is adopted to simulate all possible vehicle stream release conflict impediment conditions in the intersection; and the lane group and intersection vehicle stream path-based traffic flow macroscopic simulation model is built. With the model of the invention adopted, the defect of complex parameter calibration and coefficient calculation of an existing model can be eliminated, and quick simulation method support can be provided for urban traffic jam active prevention and control and fast dredging.

Description

technical field [0001] The invention relates to the field of urban road network traffic control, in particular to an urban network traffic flow simulation model based on lane groups and intersection vehicle flow paths. Background technique [0002] With the continuous expansion of the scale of urban traffic network and the increasing traffic flow, the optimization of traffic control problems not only faces the complexity of time and space, but also faces the pressure of high-dimensional control variables, which makes the traditional theoretical methods for solving traffic problems encounter great difficulties. Challenges, such as fuzzy control, neural network control, Markov optimization decision, Multi-Agent control, etc. In order to consider the impact of traffic flow interaction on the optimization of traffic control problems, and to reduce the complexity of problem modeling variables, with the rapid development of computer technology, the optimization method of traffic c...

AI Technical Summary

Problems solved by technology

Although the above two methods make up for the gap in the original macroscopic traffic flow model in the description of traffic flow obstruction in the intersection, the derivation and calculation process of the obstruction coefficient is too complicated, which is not conducive to the rapid simulation of the model. The description of the process, especially the complex parameter calibration in the calculation process of the obstruction coefficient of the vehicle turning into the lane group, increases the unnecessary workload of model simulation and the randomness of simulation results

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