Optimization method for road network traffic flow based on improved TASEP model

Abstract

The invention discloses an optimization method for road network traffic flow based on an improved TASEP model. The method comprises the following steps of: firstly, setting the edges of the network tohave different hopping rates and conform to the Poisson distribution; then, combining the real-time flow values and the number of particles on the corresponding sides at each intersection of the roadnetwork to design path strategies of the particles and control the motions of the particles; and finally, selecting a reasonable path of particles according to the roulette algorithm. The invention aims at the complex urban traffic road network, performs abstract modeling based on methods and concepts in the field of complex networks, and then reasonably controls the particle motion under the action of the TASEP model and the path strategy to achieve the optimization of the urban road network traffic flow and relieve the congestion. The invention makes two improvements on the basis of a traditional model, and designs a reasonable path strategy, thereby reasonably controlling the motions of the particles to achieve the optimization of system flow and relieve congestion, and providing new ideas and methods for studying urban traffic flow models.

Description

technical field [0001] The present invention relates to the optimization of traffic and methods of alleviating road congestion. Background technique [0002] With the development of the urban economy, the number of motor vehicles is increasing rapidly, while the growth of urban roads is limited and slow, resulting in serious obstacles to normal traffic in the city and frequent traffic congestion. Especially in big cities, oversaturated traffic jams have become the norm. Oversaturated traffic congestion and the ensuing environmental pollution and energy shortages have become major issues affecting urban development and citizens' living standards. [0003] As one of the most important means of modern urban traffic management, the design and optimization of traffic flow models will determine the efficiency of urban road vehicles to a certain extent. However, the traffic efficiency of vehicles in oversaturated traffic conditions is extremely low, and energy consumption is extr...

AI Technical Summary

Problems solved by technology

At this stage, most of the research on the TASEP model is still focused on the one-dimensional structure of single-channel or double-channel, without analyzing the actual road network.

However, Neri et al. started from the method and theory of pure complex network structure to study the structure on the two-dimensional network, but the selection of the movement path of the particle at the intersection in the network is the most primitive way---random selection, without taking into account The influence of other variables in real-time traffic, so it does not involve the optimization of road network flow

Images