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

这项赠款申请是针对NSERC的，目的是获得高性能的数据库和计算服务器。它们将被用来提供必要的计算能力和存储能力，以从合作伙伴那里获取运输数据，并使其能够为运输和相关领域的几个应用程序进行存档、处理、分析和可视化。该设备将纳入大学间企业网络、物流和运输研究中心(CIRRELT)的计算机网络。虽然该中心与魁北克交通运输领域的许多利益攸关方，特别是公共行政部门和魁北克交通部、蒙特雷阿勒市、蒙特雷亚尔运输协会等机构不断开展合作并开展研究项目，但该中心没有与它们的数据源建立直接的电子链接，也没有处理这些数据的计算资源。这项提议的目标是购买必要的计算设备，以便能够将来自合作伙伴的运输数据存档，将这些数据提供给研究人员用于各自的项目，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、交通和商业)和基础设施，并不断产生海量数据，这一现象最近被称为“大数据”。如此大量的数据既是一个挑战，也是一个机遇：需要计算工具来理解不断扩大的大型数据集，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无法获得、未保存或锁定在数据仓库中的运输数据，从而实现这一点。

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.