Driving analog simulation system based on multi-agent traffic flow

Abstract

The invention belongs to the technical field of road traffic, and discloses a driving analog simulation system based on multi-agent traffic flow. The system comprises a BIM simulation environment module, a multi-agent traffic flow simulation module, a driving simulation platform, a control module of the driving simulation platform, a vehicle control and risk early warning module, a vehicle collision and risk identification module and a driver heart physiological data acquisition module, wherein all the modules are respectively connected to a high-performance graphic workstation for corresponding data processing, and the driver heart physiological data acquisition module and the multi-agent traffic flow simulation module are respectively connected with a data operation server and are used for storing data acquired by the sensor in real time and real traffic flow data. According to the invention, the multi-agent traffic flow simulation module realizes accurate simulation of multi-agent complex traffic flow, also realizes analysis of the driving behavior of the vehicle and the running state of the traffic flow vehicle, and finally realizes comprehensive evaluation of the traffic safety condition of the road section and the road network.

Description

technical field [0001] The invention belongs to the technical field of road traffic, in particular to a driving simulation system based on multi-agent traffic flow. Background technique [0002] With the rapid increase in the number of motor vehicles and new drivers in our country, the traffic accident rate has remained high, and traffic safety has received widespread attention from the whole society. Through the statistics of traffic accidents, it is found that the vast majority of traffic accidents are the result of the interaction of multiple factors including people, vehicles, roads, and the environment, and are the result of uncoordinated operation of system factors. very important. [0003] The traditional traffic safety analysis mainly starts with traffic accident patterns, accident causes, and road conditions. Through data analysis, accident black spots are found, and relevant improvement measures are taken. However, this method cannot truly obtain the driving oper...

AI Technical Summary

Problems solved by technology

[0006] The existing driving simulation system is not only simple to set up the scene, but also the simulation of multi-agents in the complex traffic flow is only limited to the scope of observable functions. Except for the simulated driver's vehicle, the driving of other vehicles in the traffic flow is controlled at a fixed speed. drive in lanes to simulate the basic appearance of traffic flow

In the process of building the road environment, only a simple simulation of the basic information of the road, such as the establishment of street models, pavement models, road signs and markings, etc., the overall system is only used for demonstration, and cannot carry out accurate and strict road technical indicators Analysis and Data Analysis of Driving Behavior in Multi-Agent Traffic Flow

[0007] For the simulation of the simulation effect of the six-degree-of-freedom platform, the traditional simulation attitude only simulates the acceleration and deceleration, roll, steering and other information of the vehicle, while the road condition information, environmental information such as rain and snow weather, vehicle warning and collision in the road environment information The information cannot be fed back to the motion platform for response. For example, if there is water slip caused by rain and snow on the road surface, it cannot be reflected to the driver

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