李军, 秦其明, 游林, 解超. 利用浮动车数据提取停车场位置[J]. 武汉大学学报 ( 信息科学版), 2013, 38(5): 599-603.
引用本文: 李军, 秦其明, 游林, 解超. 利用浮动车数据提取停车场位置[J]. 武汉大学学报 ( 信息科学版), 2013, 38(5): 599-603.
DataLI Jun, QIN Qiming, YOU Lin, XIE Chao. Parking Lot Extraction Method Based on Floating Car[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 599-603.
Citation: DataLI Jun, QIN Qiming, YOU Lin, XIE Chao. Parking Lot Extraction Method Based on Floating Car[J]. Geomatics and Information Science of Wuhan University, 2013, 38(5): 599-603.

利用浮动车数据提取停车场位置

Parking Lot Extraction Method Based on Floating Car

  • 摘要: 针对当前停车场信息采集手段周期长、成本高的问题,提出了利用浮动车数据自动提取停车场位置的方法。通过分析在停车场内采集的浮动车数据具有的典型特点后,使用DBSCAN算法检测出位于停车场内的点簇进而提取停车场的位置;同时针对DBSCAN算法具有高时间复杂度的缺点,结合定位点簇的空间尺寸限制条件构建了特定的空间索引,提高了聚类算法的效率。试验结果验证了该方法的有效性。

     

    Abstract: The phenomena that parking is difficult in large and medium sized cities makes people’s desire for parking lot information become stronger and stronger, and the level of detail and accuracy of parking lot information in electronic maps directly impact the service quality of maps. In view of the problems of current surveying methods of parking lots, this paper proposes an approach to automatically extract the locations of parking lots from floating car data. In this paper, the DBSCAN algorithm is used to detect point clusters located within parking areas, and a special spatial grid index is established to decrease the time complexity of the clustering algorithm. Experiment results validate the proposed method.

     

/

返回文章
返回