"Platform for Transportation Data Archiving, Processing, Analysis and Visualization"

此拨款申请是针对NSERC的，目的是获得高性能数据库和计算服务器。它们将用于提供必要的计算能力和存储能力，以获取合作伙伴的运输数据，并允许其存档，处理，分析和可视化运输和相关领域的几个应用程序。这些设备将被纳入企业网络、物流和运输大学间研究中心的计算网络。尽管中心与魁北克省交通领域的许多利益攸关方，特别是公共行政部门和魁北克省交通部、蒙特利尔市、“蒙特利尔交通协会”等机构正在开展合作和研究项目，但中心没有与其数据源的直接电子链接，也没有处理这些数据的计算资源。该提案的目标是购买必要的计算机设备，以便能够将合作伙伴提供的运输数据存档，将这些数据提供给研究人员用于其各自的项目，并允许在这一综合平台上开发新的软件应用程序。越来越多的传感器连接到人，货物，车辆（私人，运输和商业）和基础设施，并不断产生巨大的数据量，最近被称为“大数据”的现象。如此大量的数据是一个挑战，也是一个机遇：需要计算工具来理解大型和不断扩展的数据集，并解决当今复杂的交通问题。所要求的设备将使CIRRELT研究人员能够直接、系统和有组织地访问目前不可用、未保存或锁定在数据仓库中的运输数据。

This grant application is addressed to NSERC with the objective of acquiring high performance database and computing servers. They will be used to provide the necessary computing power and storage capacity to get access to transportation data from partners and allow its archiving, processing, analysis and visualization for several applications in transportation and related fields. This equipment will be integrated into the computing network of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). Although the Centre has ongoing collaborations and research projects with many stakeholders in the field of transportation in Québec, in particular public administration and agencies such as the Québec Ministry of Transportation, the City of Montréal, the "Société de Transport de Montréal", it does not have a direct electronic link to their data sources, nor the computing resources to deal with this data. The goal of this proposal is to buy the necessary computing equipment to be able to archive transportation data from partners, make this data available to the researchers for their respective projects and permit the development of new software applications on this integrated platform. More and more sensors are attached to people, goods, vehicles (private, transit and commercial) and the infrastructure, and continuously generate gigantic amounts of data in a phenomenon that has become recently known as "big data". Such large amounts of data are a challenge and an opportunity: computational tools are required to make sense of large and ever-expanding datasets and solve today's complex transportation problems. The requested equipment will make this possible by providing CIRRELT researchers direct, systematic and organized access to transportation data currently unavailable, unsaved or locked in data warehouses.