车辆的时空动态:交通数据和上下文信息的融合
Daniel Bolaños-Martinez1, Maria Bermudez-Edo1, Jose Luis Garrido1
1Computer Science School and Research Centre for Information and Communication Technologies (CITIC-UGR), University of Granada, C/ Periodista Daniel Saucedo Aranda S/N, 18071 Granada, Spain.
Data in brief
|February 15, 2024
概括
这项研究引入了来自西班牙塞拉内华达地区的新车辆跟踪数据集. 这些数据支持在流动性,城市规划和旅游分析方面的研究.
科学领域:
- 环境科学 环境科学
- 流动性研究 流动性研究
- 社会和人口统计学.
背景情况:
- 农村流动模式是研究不足的.
- 巴兰科德波奎拉地区为分析提供了一个独特的案例.
- 现有的数据集缺乏综合的上下文信息.
研究的目的:
- 为西班牙农村地区的车辆追踪提供一个新的数据集.
- 提供包括LPR,上下文和社会人口统计信息在内的全面数据.
- 促进在流动性,城市规划,旅游和社会人口统计方面的研究.
主要方法:
- 部署了四个Hikvision车牌识别 (LPR) 摄像头.
- 在三个市镇收集车辆进出口数据.
- 整合上下文数据:假期日历,车辆来源,社会人口统计.
主要成果:
- 一个数据集跨越9个月 (2022年2月至10月).
- 三个数据文件:原始,访问聚合和车辆聚合.
- 丰富的数据集使得详细的流动性和社会人口统计学分析成为可能.
结论:
- 数据集为各种研究应用提供了宝贵的资源.
- 它可以对农村流动性及其影响因素进行深入分析.
- 在类似地区的城市规划和旅游战略中提供信息的潜力.
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