Urban transportation professionals are under increasing pressure to perform data-driven decision making and to provide data-driven performance metrics. This pressure comes from sources including the federal government and is driven, in part, by the increased volume and variety of transportation data available. This sudden increase of data is partially a result of improved technology for sensors and mobile devices as well as reduced device and storage costs. However, using this proliferation of data for decisions and performance metrics is proving to be difficult. In this paper, we describe a proposed structure for a system to support data-driven decision making. A primary goal of this system is improving the use of human time, effort and at...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...
PDFTech Reporthttp://www.ncitec.msstate.edu/wp-content/uploads/2013-13FR.pdfNCITEC Project No. 2013-...
The so called data era we have entered in is accompanied by an explosion of data, both in variety an...
This master thesis focuses on data-driven decision-making in Norwegian public transport, aiming to i...
Over the past decades, transportation research has been mathematical-equation driven or relied on sc...
The rising availability of digital traces provides a fertile ground for data-driven solutions to pro...
The annual cost estimate of traffic congestion exceeded 88 billion dollars in 2019 in the United Sta...
In the last few years, the increase in mobility has coincided with an ever greater use of an individ...
In this paper, we present an end-to-end data-driven system, dubbed TransDec (short for Transportatio...
AbstractIn the last few years, the increase in mobility has coincided with an ever greater use of an...
The successful development of Intelligent Transportation Systems (ITS) depends on the capability of ...
This chapter examines Decision support systems (DSS) are instrumental in the sustainable development...
This paper presents a methodology for determining public transportation quality attributes, based on...
2015Final ReportPDFTech ReportUMAR24-23DTRT12-G-UTC01Market valueData collectionTransportation infor...
Last-mile operations in forward and reverse logistics are responsible for a large part of the costs,...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...
PDFTech Reporthttp://www.ncitec.msstate.edu/wp-content/uploads/2013-13FR.pdfNCITEC Project No. 2013-...
The so called data era we have entered in is accompanied by an explosion of data, both in variety an...
This master thesis focuses on data-driven decision-making in Norwegian public transport, aiming to i...
Over the past decades, transportation research has been mathematical-equation driven or relied on sc...
The rising availability of digital traces provides a fertile ground for data-driven solutions to pro...
The annual cost estimate of traffic congestion exceeded 88 billion dollars in 2019 in the United Sta...
In the last few years, the increase in mobility has coincided with an ever greater use of an individ...
In this paper, we present an end-to-end data-driven system, dubbed TransDec (short for Transportatio...
AbstractIn the last few years, the increase in mobility has coincided with an ever greater use of an...
The successful development of Intelligent Transportation Systems (ITS) depends on the capability of ...
This chapter examines Decision support systems (DSS) are instrumental in the sustainable development...
This paper presents a methodology for determining public transportation quality attributes, based on...
2015Final ReportPDFTech ReportUMAR24-23DTRT12-G-UTC01Market valueData collectionTransportation infor...
Last-mile operations in forward and reverse logistics are responsible for a large part of the costs,...
Today utilizing data is crucial for businesses and the logistics sector is no exception. By analyzin...
PDFTech Reporthttp://www.ncitec.msstate.edu/wp-content/uploads/2013-13FR.pdfNCITEC Project No. 2013-...
The so called data era we have entered in is accompanied by an explosion of data, both in variety an...