基于手机网络数据的轨道交通站点实时动态客流检测研究

对各大型与特大型城市,轨道交通方式出行的客流分担量日趋上升,且时间上、空间上高度集中。只有实时动态地把握轨道交通客流数据信息,及时快速进行定量化、科学化分析研判,才能迅速采取针对性的预案,做出可靠决策。传统客流检测方式,无法掌握乘客在轨道交通线路上的具体行动线路,无法了解乘客的换乘线路。本研究利用手机技术持续追踪手机用户的出行轨迹,识别并处理得到各个站点的客流总量及客流组成情况,即,每个统计周期内,各个站点某线路进站客流量、某线路出站客流量及某线路换乘至另一线路的换乘客流量。从而提供了更全面、更精细的轨道交通站点客流数据,为轨道交通运营组织优化调整提供了定量化的决策分析支持。

基于多源交通大数据的通道公交客流特征分析——以上海北横通道为例

文章针对公交整体客流变化情况下,针对交通大数据全样本、处理速度快的特点,将公共交通大数据(包括IC卡数据、GPS数据、手机数据)等多源异构交通大数据进行收集与处理。通过上车站点推导算法流程对IC卡上车站点进行匹配,推断乘客上下站点,进而计算总客流、站点上下客流与换乘客流、客流组成、平均乘距等公交客流特征指标,并通过手机全方式数据与现状通道数据,分析通道公交出行的潜在需求与提升空间。

Logistics Management based on Supply Chain Management

Logistics is an important part of the supply chain and connect all aspects of the supply chain throughout it, which has become business cooperation ties. In the process of developing supply chain logistics strategy, generally require attention to the following questions： To segment customers, we should determine the appropriate level of customer service, such as order cycle, inventory levels and other modes of transport for different types of clients; Group products according to sales on them, we can take different strategies for each category of products. Order entry, order execution and delivery job processing accounted for a large proportion of logistics activities, which requires technology and management to make the entire processes of supply chain logistics more efficient, especially for the interface area between members of enterprises. We can eliminate redundant work by integrating flow, improve logistics efficiency.