An intelligent traffic data analysis system based on big data

A data analysis system and intelligent transportation technology, applied in the field of data analysis systems based on big data, can solve problems such as low computing efficiency and inability to meet the needs of big data processing, and achieve high integration, rich functions, and low coupling Effect

Active Publication Date: 2021-11-05
连云港杰瑞电子有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Traditional data analysis systems are limited by resources and have low computing efficiency, which can no longer meet the needs of big data processing

Method used

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  • An intelligent traffic data analysis system based on big data
  • An intelligent traffic data analysis system based on big data
  • An intelligent traffic data analysis system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Embodiment 1, a kind of intelligent traffic data analysis system based on big data, comprises:

[0034]The data loading module writes the traffic and checkpoint data generated by the transportation infrastructure into HBase;

[0035] The traffic statistics and analysis module realizes the three functions of traffic analysis by lane, traffic analysis by phase, and traffic analysis by direction, processes traffic data, displays the processing results, and provides decision-making basis and recommended schemes for intersection timing;

[0036] Section travel time analysis module, the module realizes four functions of calculation of travel time of all sections or routes, cluster analysis of travel time, plan evaluation and congestion status release, processes checkpoint data, displays processing results, provides plan evaluation basis, and releases congested state;

[0037] Vehicle trajectory analysis module, which counts the vehicle trajectory within the specified time ra...

Embodiment 2

[0040] Embodiment 2, in the intelligent traffic data analysis system based on big data described in embodiment 1: the system adopts the B / S architecture mode, adopts a three-layer architecture, and divides the data layer, service layer and application layer into different modules , the data layer is divided into cluster data layer and non-cluster data layer, and the service layer is divided into cluster service layer and non-cluster service layer correspondingly, and the unified application layer and cluster service layer and non-cluster service layer, the system design is decoupled as much as possible.

[0041] The system architecture is divided into data layer, service layer and application layer: the data layer includes cluster data layer and non-cluster data layer, non-cluster data layer can use traditional Oracle database, cluster data layer uses HBase database, non-cluster data layer stores structured Massive data, using Java for data processing. The cluster data layer s...

Embodiment 3

[0042] Embodiment 3, in the intelligent traffic data analysis system based on big data described in embodiment 1 or 2: the system adopts Kafka as the message server, SparkStreaming as the real-time stream processing system, and the front-end equipment writes the traffic and checkpoint data into the Kafka server , SparkStreaming reads the data in Kafka as a consumer and writes the processed data into HBase.

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Abstract

The present invention is an intelligent traffic data analysis system based on big data, including: a data loading module, which writes traffic and bayonet data generated by traffic infrastructure into HBase; a traffic statistics and analysis module, which realizes traffic analysis by lane and phase Three functions of flow analysis and flow analysis by direction; road segment travel time analysis module, realizing four functions of road segment or route all travel time calculation, travel time cluster analysis, program evaluation and congestion status release; vehicle trajectory analysis module, statistics of specified time Vehicle trajectories within the range, analyzing and displaying the driving trajectories of vehicles; the optimal route recommendation module, which comprehensively recommends the optimal route to users based on the congestion status of the road section and the average travel time of the route; the OD analysis module, which counts the number of routes for each route point, Statistical analysis of travel volume. The invention has massive data processing capability, rich functions, high integration degree and low coupling degree, and can be integrated in the actual road traffic control system.

Description

technical field [0001] The invention belongs to the field of intelligent traffic control systems, and in particular relates to a data analysis system based on big data. Background technique [0002] With the rapid development of the Internet of Things, mobile Internet and urban intelligent transportation systems, the amount of traffic data has greatly increased and entered the era of big data. Traffic data contains a large amount of valuable data, which has played a huge role in promoting the development of the intelligent transportation industry. Traditional data analysis systems are limited by resources and have low computing efficiency, which can no longer meet the needs of big data processing. [0003] Therefore, according to the development direction of the intelligent traffic data analysis system, it is of great significance to develop an intelligent traffic data analysis system based on big data distributed computing architecture, distributed database and other techn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q50/30G06F16/22G06F16/25
CPCG06Q10/047G06Q50/30G08G1/0125
Inventor 程添亮项俊平刘建华张新军
Owner 连云港杰瑞电子有限公司
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