A city traffic dynamic prediction system and method with real time and continuous feature

Abstract

The invention discloses an urban traffic state predicting system with real-time and continuous characteristics. A real-time traffic data pre-treatment module carries out real-time reception of outside traffic data flows and also pre-treatment of online generalization and characteristic extraction of the data flows and inputs the online traffic parameter prediction done by the traffic state parameter predicting module; an active monitoring module of a predicting model performs real-time monitoring of characteristic changes of traffic data flows and provides real-time feedback and warning in case of limit threshold exceeding; a self-adapting adjusting module of the predicting model actively conducts self-adapting adjustment on the predicting model according to the warning information of the monitoring module; an automatic traffic state recognition module automatically recognizes the present traffic state according to the various predicted traffic state parameters. The invention can help traffic management departments to formulate traffic control and management strategies, thereby improving domestic study and application level in the transportation field, shortening the distance with the international level, enlarging the management capacity and effectively relieving traffic congestion.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

In this patents, there are technical features related to making better use of advanced technologies like LIDAR or cameras on vehicles during autonomously controlled driving systems such as self-driving cars. These advancements aim towards improved efficiency and reliability by allowing accurate vehicle position tracking while predicting potential collisions between other objects along their path without relying solely upon previous models. Additionally, these techniques allow for more flexible adaptation to changing environmental conditions and traffic patterns over longer periods of time, resulting in increased benefits from traffic monitoring and guiding capabilities. Overall, they improve the quality of urban infrastructure planning and enhance safety measures against threats associated with collision scenarios.

Problems solved by technology

This patented technical solution described by this patents solves issues with current methods used for predicting traffic flow speed or road conditions accurately due to their limitations such as slow processing times and poor models fitting dynamic needs.

Images