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
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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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