A Regional Query Method of Traffic Data Based on HBase
LI Dong
FANG Jun
Abstract：With the development of intelligent traffic, traffic data has exponential growth.To improve the query's performance of spatial and temporal region, this article proposes HRQ region query methods of traffic data based on HBase.The method uses the Geohash algorithm to make traffic data's latitude and longitude information become a Geohash code, and combines time to form HBase's keys.This article designs the corresponding query algorithms too.Experimental results show that, compared to the direct combination of latitude, longitude and time as HBase's keys, the performance of HRQ method is 30% higher in time-based region query, and HRQ's performance advantage increases as query area increases in region's query based on regional.
Keywords：HBaseGeohash algorithmregional querymassive trafficspatial and tempal feature
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 230-234,278 )