FRA Best Practices Workshop on VTI Simulation

Details

• Creators:
  Tajaddini, Ali ; Marquis, Brian
• Corporate Creators:
  United States. Federal Railroad Administration. Office of Research, Development, and Technology ; John A. Volpe National Transportation Systems Center (U.S.)
• Subject/TRT Terms:
  Best Practices Derailments Public Private Partnerships Railroad Safety Railroad Tracks Regulations Software Software Packages Train Track Dynamics Workshops
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Minneapolis (Minnesota)
• Corporate Publisher:
  United States. Department of Transportation. Federal Railroad Administration
• 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.
• Format:
  PDF
• Collection(s):
  Federal Railroad Administration Volpe Center
• Main Document Checksum:
  urn:sha-512:add5a457745f17fce95521dfeebcb5e6a20150fa988e075a675131309af0c54a7b98309ba840a5d18ade333286534778586b8dffdbd887db955b3202d18eb67e
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34204/dot_34204_DS1.pdf
• File Type:
  [PDF - 2.63 MB ]