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 system based on big data, can solve the problems of inability to meet the needs of big data processing, low computing efficiency, etc., and achieve rich functions, high integration, and low coupling Effect

Active Publication Date: 2019-02-15
连云港杰瑞电子有限公司
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  • Abstract
  • Description
  • Claims
  • 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 ran...

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 invention is an intelligent traffic data analysis system based on big data, comprising a data loading module, a traffic statistical analysis module, a road travel time analysis module, a vehicle trace analysis module, an optimal path recommendation module and an OD analysis module, wherein the data loading module writes the traffic and checkpoint data generated by the traffic infrastructure inthe HBase; the traffic statistical analysis module implements lane flow analysis, phase flow analysis and direction flow analysis; the road travel time analysis module realizes calculation of all travel time of the road or a route, travel time cluster analysis, plan evaluation and congestion state broadcasting; the vehicle trace analysis module counts vehicle traces within a specified time range,and analyzes and displays the vehicle traces; the optimal path recommendation module recommends an optimal path to users based on the congestion state of the road and the average travel time of the path; the OD analysis module counts the number of vehicles at each route and statistically analyzes trips. The intelligent traffic data analysis system based on big data has massive data processing capability, many functions, high degree of integration and low degree of coupling, and can be integrated into an 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 Applications(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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