City-level intelligent traffic simulation system

Abstract

The invention discloses a city-level intelligent traffic simulation system. With multi-source heterogeneous data as input, the vehicle queue length of each lane at an intersection can be predicted, the evolution of the vehicle queue length is further dynamically simulated, and the simulation system comprises a data collection module, a multidimensional database, an algorithm module, a traffic state prediction module, a traffic simulation derivation module and an interaction visualization module. In the data collection module, the collected data comprise traffic dynamic data and static data. The multidimensional database is used for receiving various traffic dynamic information in real time and storing road infrastructure configuration information. In the algorithm module, a generated confrontation network is used for data generation and state prediction on the vehicle queue length, and the processing process comprises data feature extraction, data dimension processing, confrontation network generation, and hyperparameter optimization. The vehicle queue length of each lane at the intersection can be predicted, and the evolution of the vehicle queue length is further dynamically simulated.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to an estimation and prediction of urban traffic state and a traffic simulation system. Background technique [0002] The increasing number of motor vehicles makes the limited road construction unable to meet the traffic demand brought by the rapid growth of vehicles, which brings a severe test to my country's urban construction and social public transportation. Traffic simulation is a powerful and effective technology for studying traffic behavior. It can reproduce or pre-grasp the traffic operation status of the existing system or future system, so as to explain and analyze complex traffic phenomena, find out the crux of the problem, and finally To solve typical problems such as traffic congestion. [0003] Most urban traffic simulation platforms are often based on the aggregation information of traditional detectors or video detectors (such as flow rate, saturation, etc. in a ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the existing urban traffic simulation methods that cannot follow the complex changes in traffic in real time, the present invention provides a city-level intelligent traffic simulation system, which can predict the vehicle queuing length of each lane at the intersection, and further calculate the vehicle queuing length dynamic simulation of the evolution of

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