Mesh-free traffic simulation method based on novel traffic simulation model

Abstract

The invention discloses a mesh-free traffic simulation method based on a novel traffic simulation model. According to the method, a vehicle system simulation model, a power system model of road traffic, a boundary acting force model of a traffic system and a system model of pedestrians and other non-motor vehicles are established; a simulation model of the action of signal lamps on the traffic system and a one-to-one corresponding relation between mesh-free particles and true vehicles are established, and a control equation set used for SPH solving is obtained; and a mesh-free traffic simulation method equation set based on the novel traffic simulation model is obtained. By the adoption of the ideology of a particle fluid system, a traffic system pseudo-fluid model is established; respective advantages of traditional micro, medium and macro models in traffic problem solving can be maintained, respective defects of the models are overcome, and meanwhile the purpose of effectively connecting a micro method, a medium method and a macro method is truly achieved.

Description

【Technical field】 [0001] The invention belongs to the technical field of information traffic, and in particular relates to a gridless traffic simulation method based on a novel traffic simulation model. 【Background technique】 [0002] At present, there are three main categories of research methods on traffic problems at home and abroad, namely analysis methods based on experimental data collection, theoretical analysis methods based on nonlinear science, and simulation analysis methods based on fluid dynamics models of traffic systems. Using traditional experimental data analysis methods requires a lot of manpower, material resources and a long experiment collection cycle. Although the high-speed camera system and its data analysis methods are continuously improved and updated, it is difficult to fully and intuitively understand special traffic behaviors such as stop-and-go and ghost traffic caused by drivers and other human factors in the road traffic system only through da...

AI Technical Summary

Problems solved by technology

However, the current model is only suitable for the movement of sparse gas molecules, and the distance between molecules is relatively large, which is inconsistent with the current situation that the distance between vehicles in the road traffic system can be large or small.

At the same time, the equations established by this model include many undetermined parameters and complex relational expressions, which have not yet been able to establish a connection with the actual road traffic system parameters, resulting in a slower development of this model than the other two methods

[0006] In addition, most of the road traffic system models at home and abroad use grid-based numerical simulation methods to observe the evolution process of the traffic system by tracking the traffic density, speed, flow and other parameters at a fixed position at each time step. The real-time movement status of the vehicle, let alone tracking the trajectory of each vehicle, so for some typical conditions in the road traffic system, such as ghost traffic, traffic jams, mixed traffic, etc., the cause of the accident cannot be tracked in detail, and the full use of Advantages of Numerical Simulation

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