NTL Record

Title FRA Best Practices Workshop on VTI Simulation
Record ID 57084
Personal Name
Creator
Tajaddini, Ali; Marquis, Brian
Corporate Creator United States. Federal Railroad Administration. Office of Research, Development, and Technology; John A. Volpe National Transportation Systems Center (U.S.)
Publisher United States. Department of Transportation. Federal Railroad Administration
Publication Date 20150701
Language English
Abstract Minneapolis’s Open Data Approach to Curbside Management SMART grant project enabled the creation of a digital ecosystem for city-wide responsive and data-driven curb management. The city will integrate its asset management systems, a constantly updated digital inventory of curb space (i.e., a “digital twin”), and real-time data from curb users and the tools used to operate, manage, and monitor the city’s curbs. Project goals include facilitating meaningful engagement, collecting high-quality data, integrating the data, and creating an application programming interface (API). We heard from key stakeholders through focus groups and interviews to understand their curb-related challenges and needs. We gathered quantitative data through cameras, field observations, surveys, and existing datasets, and integrated the information with the city’s digital twin. We developed open-source curb, event, and metric APIs to communicate policies and real-time curb activity while ensuring privacy and providing curb information to public and private partners.
Rosap ID dot:34204
Rosap URL https://rosap.ntl.bts.gov/view/dot/34204
TRT Terms Railroad tracks; Derailments; Railroad safety; Workshops; Regulations; Software; Best practices; Software packages; Train track dynamics; Public private partnerships
Geographical
Coverage
United States; Minneapolis (Minnesota)
Availability Volpe National Transportation Systems Center, Technical Reference Center
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/57000/57000/57084/12_Modeling_Challenges_Facing_FRA_-_Tajaddini_and_Marquis.pdf
Format PDF
Database NTL Digital Repository