浅析应用大数据缓解医院机动车停车难题

医院内外的交通组织已经成为城市道路交通管理的难点之一,而大数据技术的发展为掌握医院周边交通特点、改善医院周边交通组织提供了新的技术支撑手段。本文建立应用多源大数据进行医院交通管理组织优化的体系框架,在此基础上分析了对各类数据的需求并形成了应用多源大数据缓解医院交通拥堵难题的具体思路,分析了所面临的难点以及相关技术应用的案例。

The traffic organization inside and outside the hospital area has become one of the difficulties of urban road traffic management. The development of big data technology has provided a new technical support means for understanding the traffic characteristics and improving the traffic organization around the hospital area. The paper established a systematic framework which used multi-source big data to optimize traffic management and organization around the hospital area. And based on this, it analyzed the demand for all kinds of data and formed a specific idea of using multi-source big data to alleviate traffic congestion in the hospital area. The difficulties of this work and relevant technology application cases were also analyzed.