Micro-service-based real-time calculation system for traffic environment and realization method thereof

Abstract

The invention discloses a micro-service-based real-time calculation system for a traffic environment and a realization method thereof. A presentation layer receives a user request operation and sendsa request to an API gateway layer; the API gateway layer performs service discovery and matching by calling a micro-service management layer and calls a micro-service layer for service; a micro-service activates a data collector to collect traffic social data in real time; a data standardization engine standardizes the collected data and transmits the collected data to a distributed message engine; the distributed message engine transmits the standardized data to a flow processing engine, and the flow processing engine sends an accident object result to the distributed message processing engine; and the distributed message engine feeds back an output result to the micro-service layer, and the presentation layer obtains the result from the micro-service layer by calling a corresponding API.A model is abstracted to form an independent layer; the advantage of a domain-driven design method in coping with complex business expansion can be applied; and the running efficiency of a software system can be improved.

Description

technical field [0001] The invention belongs to the field of data processing, relates to a real-time computing system oriented to traffic information services, and in particular relates to a micro-service-based real-time computing system in a traffic environment and an implementation method thereof. Background technique [0002] With the acceleration of the urbanization process, the traffic problem has become an important problem that has to be faced in the economic and social development. With the rapid development of emerging information technologies and application modes such as mobile Internet, Internet of Vehicles, and social media, the volume of traffic-related data is also increasing rapidly. How to effectively use these heterogeneous data to analyze traffic hotspots (referring to areas that can continuously bring large-scale and high-frequency traffic activities within a certain time range) has become one of the research hotspots. Because traffic hotspot areas often ...

AI Technical Summary

Problems solved by technology

[0003] At present, the common system of traffic hotspot analysis is to use Spark or Hadoop to conduct centralized offline data processing of traffic data. Hotspot analysis is limited by the processing capacity of a single machine and the timeliness cannot meet the real-time requirements of traffic hotspot analysis. Facing the traffic field With the ever-increasing mass of real-time and dynamic streaming data, the existing hotspot analysis framework has problems such as poor scalability and scalability

At the same time, most of the existing real-time traffic hotspot analysis systems use traffic data released by government traffic control departments, which cannot meet the real-time requirements of traffic hotspot analysis, and do not make full use of the more time-sensitive data generated by the mobile Internet and social media.

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