Development of transilytics: A real-time, 3D web GIS-based passenger flow visualization and analysis system for transit planning

该项目的主要目标是开发一个在线交通数据收集和分析应用程序， 被称为Transilytics，以帮助城市交通规划和运营。Transsilytics将提供低成本的实时 解决过境乘客出行模式的数据收集、可视化、分析和预测问题， 是城市轨道交通规划和运营中基于证据的决策的重要信息。 作为一家总部位于安大略省的营利性公司，Physicalytics开发专有传感器和基于云的数据 监控人类行为并提供有关人类的有价值和可操作的见解的分析平台 物理位置上的相互作用。虽然该公司在几个利基业务上一直在稳步增长 在这些地区，Physicalytics现在正在城市交通行业寻找新的商机。它的 即插即用传感器和在线仪表盘平台可用于收集公交乘客的出行数据 实时的。为了将这种数据收集能力转化为真正的商业机会，Physicalytics正在寻找一种网络 基于地理信息系统的应用程序，允许实时可视化和分析旅行数据，并进一步 支持公交出行模式分析和预测。这项拟议的研究是一项完美的研究 提供硬件解决方案的Physicalytics与提供硬件解决方案的Ryerson University之间的合作 提供数据可视化、交通数据分析以及交通规划和运营方面的专业知识。 该项目的第一个关键研究挑战是开发一种具有成本效益的方式来匿名跟踪 出于隐私考虑，乘客在公交车上的参与度。为了迎接这一挑战，专有传感器提供了 由Physicalytics将被重新配置并放置在公共汽车上，以匿名收集乘客的登机 从乘客的智能手机信号来看，时间、在公交车上停留的时间以及公交车内的空间分布。 第二个关键的研究挑战是开发一种新的基于Web GIS的应用程序来翻译这种旅行

The primary objective of the project is to develop an online transit data collection and analytics application, called Transilytics, to assist urban transit planning and operation. Transilytics will provide a low-cost real-time solution to data collection, visualization, analysis, and prediction of transit passengers' travel patterns, which are important information for evidence-based decision making in urban transit planning and operation. As an Ontario-based for-profit company, Physicalytics develops proprietary sensors and cloud-based data analytics platforms to monitor human behaviour and provide valuable and actionable insights about human interactions in physical locations. While the company has been growing steadily in several niche business areas, Physicalytics is now looking for new business opportunities in the urban transit industry. Its plug-and-play sensors and online dashboard platform can be used to collect transit passengers' travel data in real time. To turn this data collection capacity into a real business opportunity, Physicalytics is seeking a web GIS-based application that would allow real-time visualization and analysis of the travel data and further support transit travel pattern analysis and forecasting. The proposed research represents a perfect research collaboration between Physicalytics, who provides the hardware solution, and Ryerson University, who provides expertise in data visualization, transit data analytics, and transit planning and operation. The first key research challenge of the project is to develop a cost-effective way to anonymously track passengers' engagement on buses due to privacy concerns. To meet this challenge, proprietary sensors provided by Physicalytics will be reconfigured and placed in transit buses to anonymously collect passengers' boarding time, duration of staying on bus and spatial distribution inside the bus from passengers' smartphone signals. The second key research challenge is to develop a novel web GIS-based application that translates such travel