Mobility Data Analytics Center

2016PDFTech ReportDTRT12GUTG11ForecastingCase studiesData analysisData collectionMobilityMultimodal transportationSafetySustainable transportationTravel demandWeb applicationsCase studiesData analysisData collectionForecastingMobilityMultimodal transportationSafetySustainable transportationTravel demandWeb applicationsPhiladelphia (Pennsylvania)Pittsburgh (Pennsylvania)Technologies for Safe and Efficient Transportation. University Transportation CenterQian, SeanPi, XidongHu, ZhangningTechnologies for Safe and Efficient Transportation. University Transportation CenterCarnegie-Mellon UniversityUniversity of PennsylvaniaUnited States. Department of Transportation. Office of the Assistant Secretary for Research and TechnologyUniversity Transportation Centers Program (U.S.)US Transportation CollectionMobility Data Analytics Center aims at building a centralized data engine to efficiently manipulate large-scale data for smart decision making. The ultimate goal of understanding massive data is to accurately estimate the historical usage of the transportation infrastructure and to forecast its future performance. Through MAC the authors propose to develop a centralized data engine supported by a web application to manage and analyze multi-jurisdictional multi-modal data for safety, mobility and sustainability, using the City of Pittsburgh and the City of Philadelphia as case studies. Unlike the traditional single computer stand-alone software or tools for data preparation and system design, the data engine relies on web-based data sharing and browser-based human-computer interaction for it to be accessed by users