Research And Application Of Key Technologies Of High-fidelity Micro-traffic Simulation Engine

In recent years,traffic simulation technology has been increasingly applied in intelligent transportation technology.As the intelligent transportation technology gradually moves from the theoretical research stage to the practical application stage,the traditional traffic simulation technology gradually reflects many deficiencies,such as the fact that the authenticity is not enough to reflect the actual situation of urban traffic,and it is difficult to cooperate with other intelligent transportation technologies.Based on the above background,Thesis studies and analyzes the characteristics and deficiencies of the existing traffic simulation technology,designs and implements a high-fidelity urban traffic simulation engine framework,and studies the vehicle path planning algorithm in the simulation system.Vehicle path planning algorithm based on driver experience estimation.The main research contents of this thesis are as follows:（1）A traffic simulation engine framework is proposed.For the problem that the functions of the current simulation system are too bloated and it is inconvenient to interact with other intelligent transportation systems,a modular traffic simulation framework design is proposed.By stripping the core simulation module functions into simulation engine interfaces,the simulation functions are highly reusable.oriented and functional,so that any software or information system can quickly and easily call the simulation function;（2）An empirically inspired vehicle path planning algorithm is designed.Aiming at the problem of insufficient authenticity of the current simulation algorithm,a simulated vehicle path planning algorithm is designed.When simulating the driver driving on the road,the driving route is selected by combining the real-time congestion degree of the road and the estimation of the road congestion degree.Behavior,and considering the different drivers’ prediction of congestion and their different degrees of dependence on their own experience,so as to determine the driving path of vehicles in the micro-traffic simulation;the algorithm is tested through comparative experiments,and it is confirmed that the path planning algorithm proposed in thesis can be more efficient than existing algorithms.A good restoration of the real traffic scene.（3）A set of traffic simulation engine framework is designed and implemented.According to the simulation framework proposed above,a modularized traffic simulation engine framework prototype was designed and implemented,and the highfidelity vehicle path planning algorithm above was implemented,and the engine was tested through actual simulation.The simulated vehicle pathfinding algorithm designed in Thesis can effectively improve the fidelity of micro-traffic simulation.The designed and implemented microtraffic simulation engine framework provides high-fidelity and modular simulation functions,which can be applied to various simulation scenarios,which provides different levels of simulation functions for the intelligent transportation system.