Microscopic traffic flow co-simulation platform fusing vehicle dynamics, simulation method and safety evaluation method

Abstract

The invention provides a microscopic traffic flow co-simulation platform fusing vehicle dynamics. The platform comprises a microscopic traffic flow simulation model, a vehicle dynamics model and a C#language-based interactive interface, wherein the microscopic traffic flow simulation model is used for planning a vehicle running track, simulating maneuver actions of vehicles and road shape graphs,and generating road shapes reflecting road curvatures and tilt degrees, vehicle positions and vehicle velocities and accelerations; the vehicle dynamics model is used for providing reliable vehicle performance indexes and inputting geometric setting parameters, path control parameters, velocity control parameters and the like output by the microscopic traffic simulation model to the vehicle dynamics model; and the C# language-based interactive interface is used for connecting the microscopic traffic flow simulation model with the vehicle dynamics model to realize interaction between the two models. The vehicle running track closer to reality can be generated, so that the deficiency of not considering real motion conditions of the vehicles in an existing microscopic traffic flow simulationmodel during road simulation is made up for.

Description

technical field [0001] The invention relates to the field of vehicle simulation, in particular to a microcosmic traffic flow collaborative simulation platform, a simulation method and a safety evaluation method integrated with vehicle dynamics. Background technique [0002] Traffic safety assessment has been gaining attention in recent decades. In the field of safety assessment of vehicle trajectories, especially in urban traffic, as the urban traffic environment becomes more and more complex, residents' safety awareness is increasing, and urban traffic safety has received more and more attention. [0003] In order to accurately evaluate the safety of vehicle traffic, people based on the data extraction functions of microscopic traffic simulation models (such as VISSIM, AIMSUN and PARAMICS), such as vehicle coordinates (x / y / z) and speed and Acceleration, combined with the traffic safety evaluation model to evaluate traffic safety, however, the existing micro-traffic simulat...

AI Technical Summary

Problems solved by technology

[0003] In order to accurately evaluate the safety of vehicle traffic, people based on the data extraction functions of microscopic traffic simulation models (such as VISSIM, AIMSUN and PARAMICS), such as vehicle coordinates (x / y / z) and speed and Acceleration, combined with the traffic safety evaluation model to evaluate traffic safety, however, the existing micro-traffic simulation models are limited in the consideration of vehicle dynamics when simulating the road shape, and road shape factors such as road curves and road slopes may be complex Traffic scenes will seriously affect the vehicle's engine power and engine speed and other motion performance; at the same time, the vehicle trajectory generated by the micro-traffic simulation model is far from the actual vehicle trajectory, which leads to differences between the simulated vehicle trajectory and the real trajectory. big discrepancy

The operating trajectory closer to the actual is the basis for evaluating traffic safety, so it is unreliable to evaluate traffic safety by using the road model generated by the micro-traffic simulation model alone

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