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， 名为Transilytics，以协助城市交通规划和运营。Transilytics将提供低成本的实时 数据收集、可视化、分析和预测过境乘客出行模式的解决方案， 是城市交通规划和运营中循证决策的重要信息。 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 分析平台，以监控人类行为，并提供有关人类行为的有价值和可操作的见解 物理位置的交互。虽然该公司一直在几个利基业务稳步增长 在这些领域，Physicalytics正在城市交通行业寻找新的商业机会。其 即插即用传感器和在线仪表板平台可用于收集过境乘客的旅行数据， 真实的时间。为了将这种数据收集能力转化为真实的商业机会，Physicalytics正在寻求一种网络 基于地理信息系统的应用程序，可对旅行数据进行实时可视化和分析， 支持过境旅行模式分析和预测。所提出的研究代表了一个完美的研究 提供硬件解决方案的Physicalytics和瑞尔森大学之间的合作， 提供数据可视化、公交数据分析以及公交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法来匿名跟踪 由于隐私问题，乘客在公共汽车上的参与。为了应对这一挑战， 将被重新配置并放置在公交车上，以匿名方式收集乘客的登机信息。 从乘客的智能手机信号中获得的时间、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个新的基于网络GIS的应用程序，翻译这样的旅行

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