Intelligent traffic dispatching and commanding and information service method and system based on dynamic information

Abstract

The invention discloses intelligent traffic dispatching and commanding and information service method and system based on dynamic information. The method comprises the following steps of: collecting basic traffic data; normalizing the time, the space and the attributes of the basic traffic data; periodically evaluating and predicting the traffic state of the entire road network; periodically comparing the traffic state evaluation results and the historical data of the road network, and sending a warning prompt to a commander in case of exceeding a certain threshold; responding to a confirmed warning prompt, and creating a breakdown lorry dispatching scheme; and responding to the confirmed warning prompt and the evaluated and predicted road network traffic state, judging whether a serious traffic jam occurs, and creating and releasing abnormal traffic information or normal traffic information. The invention can increase the utilization ratio of the basic traffic data, can enhance the contact between the urban traffic command center and the 110 command center, and can improve the working efficiency of personnel in the command centers and the travelling efficiency of travelers.

Description

technical field [0001] The invention relates to the analysis and processing of dynamic traffic information and a method and system for commanding and dispatching emergency resources such as vehicles and personnel based on the dynamic traffic information. Background technique [0002] With the continuous growth of car ownership, road congestion has become a common occurrence in many urban traffic. In order to alleviate this phenomenon, many cities have built urban intelligent transportation systems. These systems collect different types of traffic data for use by their own independent systems, such as the flow detection of the traffic control system is used to control the generation of signal cycles, the GPS of taxis Trajectory monitoring data is used for vehicle scheduling and management. However, due to the different construction systems and service scopes, these basic traffic data can only provide limited services for the system, and are in an idle state. [0003] On the...

AI Technical Summary

Problems solved by technology

However, due to different construction systems and service scopes, these basic traffic data can only provide limited services for the system, and are in an idle state

[0003] On the other hand, in the current traffic monitoring command center, it mainly relies on video monitoring to manually monitor the road conditions, which is time-consuming and labor-intensive.

At the same time, the traffic monitoring command center and the 110 command center in charge of handling emergency affairs are two relatively independent centers. Once an accident occurs, the 110 command center in charge of handling emergency affairs will usually call the surrounding patrol police and rescue vehicles to the scene according to the principle of proximity. Failure to consider the traffic congestion at the site and surrounding areas often delays the best time for rescue

Drivers leading to the scene of the crime are also unable to accurately obtain real-time traffic information on the road ahead through a single means such as traffic broadcasting, resulting in anxiety, which is likely to lead to secondary accidents

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