Traffic transportation emergency command and dispatch system based on big data resources

By designing a transportation emergency command and dispatch system based on big data resources, the problem of traditional systems relying on manual decision-making and local information is solved, rapid response and resource optimization are achieved, and the overall efficiency of traffic management and public safety is improved.

CN119649598APending Publication Date: 2025-03-18JIANGSU HONGLING INTELLIGENT TECH SERVICE CO LTD
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Patent Information

Application Number
CN202411815366.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The traditional traffic emergency command and dispatch system relies on manual decision-making and local information, making it difficult to quickly obtain global data, resulting in slow response speed, unreasonable resource allocation, and inability to effectively respond to emergencies.

Method used

Design a transportation emergency command and dispatch system based on big data resources, collect data in real time through sensors, cameras, GPS and other devices, use data mining and machine learning technology to perform data analysis, identify potential traffic events and trends, build an event warning model, intelligently schedule emergency resources, and display traffic conditions and scheduling decisions through a visual interface.

Benefits of technology

It has improved traffic management efficiency, enhanced emergency response capabilities, improved decision-making support, enhanced information transparency, optimized resource allocation, reduced economic losses, and improved public safety.

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Abstract

The invention discloses a traffic transportation emergency command and dispatch system based on big data resources, which is constructed based on the big data resources and mainly comprises a data acquisition module, a big data processing and analysis module, an event early warning and prediction module, an emergency command and dispatch module, an information display and interaction module and the like. Various devices (a sensor, a camera, a GPS and the like) are utilized to comprehensively collect data such as traffic flow, road conditions, weather, events and the like. Acquisition has the characteristics of high frequency and high precision, supports a plurality of data transmission modes and protocols, and can integrate and format the acquired data to guarantee data quality and convenience of subsequent processing. According to the system, effective utilization of traffic data is realized through collaborative operation of all the modules, and the traffic transportation emergency management capability is improved from multiple aspects, including improvement of management efficiency, enhancement of emergency response capability, improvement of decision support, enhancement of information transparency, optimization of resource allocation, reduction of economic loss and improvement of public safety.
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