Framework for CV Pilot and Smart Cities Data Analytics for Policy Guidance

The expanding deployment of emerging transportation technologies, including connected vehicles (CVs), automated vehicles (AVs), shared mobility, mobility on demand, and activities associated with smart cities and communities, has increased the need and demand for improved management of associated data.  While existing transportation databases have sometimes been curated and analyzed for specific project purposes, improved collaboration is needed to inform state and local agencies of lessons learned and best practices, which often produce ”big data” at magnitudes not previously seen. To demonstrate and build on these emerging technologies, a wide range of institutions, both public and private, have initiated and invested in major pilot programs.  These efforts are also supported by U.S. Department of Transportation (DOT) through several federal initiatives such as the following: (1) CV Pilot Deployment Program, (2) The Smart City Challenge, and (3) The Advanced Transportation and Congestion Management Technologies Deployment Program of Federal Highway Administration (FHWA)                As these efforts continue to expand, the amount and quality of data surrounding the application of emerging technologies is also expanding.  In response, an improved collaborative approach to data analytics has the potential to improve our ability to address transportation planning and policy questions critical to informed and effective decision-making at state and local public agencies. State and local transportation agencies are eager to learn from the experiences of early adopters of changing and emerging transportation technologies.  Formulating a framework that establishes specific procedures for identifying, collecting, aggregating, analyzing, and disseminating data should significantly contribute to effective transportation decision-making.      The objectives of this research are the following: (1) To develop a framework for identifying, collecting, aggregating, analyzing, and disseminating data from emerging public and private transportation technologies.  This framework will address, at a minimum, data from CV/AV deployments as well as other data linked to smart city and related transportation initiatives.  (2) To outline a process for using this framework to help decision-makers incorporate data from emerging technologies into transportation planning and policy. Proposers are asked to present a detailed research plan for accomplishing the project objectives.  Proposers are expected to describe research plans that can realistically be accomplished within the constraints of available funds and contract time, including an indication of how proposed research will make use of and build on available resources.  Proposals must demonstrate in sufficient detail an understanding of the issues and a sound approach to meeting the research objectives.  In meeting the objectives of this study, the research plan should consider but not be limited to the following steps: (1) Review the state-of-the-practice at state and local levels for identifying, collecting, aggregating, analyzing, and disseminating data from emerging public and private transportation technologies.  This task will include an extensive literature review. (2) Synthesize the kinds of data being collected, and, based on this synthesis, establish a taxonomy of procedures and supporting metrics for identifying, collecting, aggregating, analyzing, and disseminating data.   At a minimum, consider the following questions: (a) How are the data being used? (b) What are the objectives for collection and use of the data? (c) What data curation models are currently in use? (d) What are the commonalities and differences among different practices? (e) What data governance practices are in use? (f)  What lessons can be drawn from current experience? (3) Building on the review of the state-of-the-practice, including an analysis of overall data requirements and recognized gaps, develop the framework to include step-by-step procedures and supporting metrics for identifying, collecting, aggregating, analyzing, and disseminating data from emerging public and private transportation technologies.  In each step, specify possible data providers, users, and other stakeholders.  Document facilitators, barriers, and the potential means to overcome the barriers for implementing the steps.  In addition, the framework should include potential procedures for implementing open data policies. (4) To facilitate implementation of the research results, demonstrate how the developed framework can be applied, and make recommendations for procedural changes in identifying, collecting, aggregating, analyzing, and disseminating data from emerging public and private transportation technologies. (5) Prepare appropriate documentation, including a detailed guidebook, for use by analysts and decision-makers in implementing the proposed data collection and application framework.  Documentation may include visual representations and other graphical techniques to enhance receptivity by the intended audiences.  The research plan should be divided into two phases, and each phase should be divided into tasks with a detailed description of the work proposed.  The research plan should build in appropriate interim deliverables that include, at a minimum, a detailed annotated outline of the resources forming the basis of the research, and an interim report at the end of Phase I that describes work done in early tasks and provides an updated work plan for the remaining tasks to be accomplished in Phase II.  Phase I should account for no more than 40% of the overall effort and should address the initial and fundamental tasks contributing to the overall study outcome. NCHRP approval of the Phase I interim report is required before Phase II can commence.  In addition, the research plan should build in appropriate checkpoints with the NCHRP project panel including, at a minimum, (1) a kick-off teleconference meeting to be held within 1 month of the contract’s execution date; (2) the face-to-face interim deliverable review meeting to be held at the end of Phase I; and (3) at least two additional web-enabled teleconferences tied to NCHRP review and approval of any other interim deliverables as deemed appropriate. Note: Travel and per diem costs for panel members attending the Interim Meeting will be paid by NCHRP. Final deliverables will include at a minimum: (1) a guidebook as specified above (metrics, tools, strategies); (2) a final report that documents the entire research effort; (3) an executive summary as a stand-alone document that outlines the research findings and recommendations; and (4) a presentation (e.g., a Microsoft® PowerPoint, video, etc.) aimed at data analysts and identified decision-makers that simply and concisely explains why the framework and supporting materials are helpful and how they will be used.  Final deliverables will also include a stand-alone technical memorandum entitled, “Implementation of Research Findings and Products.”  See Special Note D.

Language

  • English

Project

  • Funding: $400000
  • Contract Numbers:

    Project 08-116

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Goldstein, Lawrence

  • Start Date: 0
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 41629

Subject/Index Terms

Filing Info

  • Accession Number: 01648508
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 08-116
  • Files: TRB, RiP
  • Created Date: May 18 2017 1:00AM