Skip to content

Search

← Customer Feedback for Department of Transportation
(thinking…)
Reset

  1. 1. What are some significant data types that crash data collection and analysis may require to benefit modernized crash report sampling syst

  2. Should data be stored long term, and if so, would it be preferred if data was anonymized or tracked to operator profiles?

  3. How can a handheld LiDAR be used to acquire data for multiple tires of freight trucks?

  4. Is condition-monitoring data from in-vehicle pre-trip inspections — tire tread depth, brake adjustment indicators, defect detection — consid

  5. For Technical Parameter TP-3 (synthetic data generation), does the DOT expect the generator to produce freight-domain-specific

  6. Will there be any restrictions on the sensory data for this project?

  7. For Phase I, would a project focused on demonstrating the feasibility of an explainable predictive model and secure data architecture, rathe

  8. who are the intended end-users of the device and what are their needs in terms of a usable interface for secure data collection

  9. I am interested in knowing what data systems are being used at transit agencies to track and risk rank incidents and accidents?  ·  Gathering feedback

  10. Does NHTSA have a set of standards and API specifications for sharing data with CRSS?

  11. Does the FTA have a preferred geographic focus or an existing ITS4US program city where Phase I demonstration data should originate

  12. For 26-OS2, may Phase I focus on a U.S. port-linked intermodal freight corridor using maritime data and AIS/port/canal indicators?

  13. What specific types of voluntary industry data does the program envision flowing into the Trusted Intermediary framework?

  14. For Phase I proof-of-concept activities, does the Department anticipate facilitating access to any federal or state multimodal freight datas

  15. Please specify requirements for LiDAR eye safety such as wavelength and peak/average laser power.

  16. Using / integrating existing standards into one place only -- or creating a new overarching "superset" that feeds into other systems?

  17. "This funding opportunity is specific to automated crash reporting software."

  18. Is it feasible to integrate third-party software solutions, such as AWS for voice recognition, into the proposed system?

  19. Public safety records integration

  20. Are there any restrictions on integrating IoT devices from multiple manufacturers to enable AI-driven predictive maintenance, real-time moni

1 3 5