Urban traffic optimal solution based on digital twin system technology simulation

At present, with the continuous improvement of residents' quality of life, the increasing number of private cars and the expansion of urban residents, the traffic pressure is increasing. How to choose the best route of urban traffic, shorten the travel time and relieve the traffic pressure has become the main problem in related fields.In the research, this paper briefly introduces the urban transportation project, and gives the technical methods of digital twin of urban transportation process integration: creating architecture, analyzing system function and digital technology integration; Set the traffic scene and use the digital twin technology to select the technical process of the best traffic path: disease analysis, road condition analysis and IOT technology integration; The system design method of the best path is given: building the framework structure, adding the field detection module, building the traditional data channel, carrying out the virtual driving test, processing the detection data returned by the sensor, so as to ensure the accuracy of path selection.