Business intelligence pilot for transit ITS deployments

过境商业智能系统是一项新举措，旨在通过生成近实时和用户友好的仪表板报告，以较低的边际成本清晰直观地描述关键的过境绩效指标，提高过境机构从部署的ITS技术中获得的数据的价值。BI系统需要创新的方法来联合收割机，挖掘和分析大量的数据，并将其转换为一组有意义的和及时的指标。到目前为止，BI系统仍处于起步阶段，需要更多的研究和开发工作来帮助这些系统成熟。拟议项目的目的是开发和试点测试一个商业智能系统，使拥有智能交通系统的运输机构能够通过使用动态仪表板报告来调查基于数据的决策的好处，该报告涵盖了多种运营报告需求（例如路线性能和时间表遵守情况）和组织报告需求（例如收入服务小时数等）。各机构及时监测、评估和说明动态条件的能力将提高系统效率，从而降低给定系统性能水平的运营成本。

Business Intelligence (BI) systems for transit are new initiatives designed to improve the value of the data that transit agencies receive from deployed ITS technologies by generating near real-time and user-friendly dashboard reports which clearly and intuitively depict key transit performance indicators at a low marginal cost. BI systems require innovative approaches to combine, mine and analyze the massive amounts of data and transform them into a set of meaningful and timely metrics. To date, BI systems are still at their infancy stage, and more research and development effort is required to help mature those systems. The purpose of the proposed project is to develop and pilot test a BI system to enable transit agencies with ITS deployments to investigate the benefits of data-based decision making through the use of dynamic dashboard reports covering a multitude of operational-reporting needs (e.g. route performance and schedule adherence) and organizational-reporting needs (e.g. revenue service hours, etc.). The ability of agencies to monitor, assess, and account for dynamic conditions in a timely manner would allow for increased system efficiency, thus reducing operating costs for a given level of system performance.