(Note: Below are notes in outline form. It remains to flesh this out into a proper section.)

Data

  • asset locations (road geometries, sidewalks, bike lanes, roadway signage, bridges)
  • asset conditions (pavement conditions/inspections, bridge conditions/inspections, surface conditions, weather, air quality)
  • asset features (evacuation routes, striping, guardrail, tolling, ramp metering, dynamic pricing etc.)
  • off-system data (land use, aerial photography)
  • traffic volumes (e.g., average annual daily traffic) both historical and projected
  • road conditions (e.g. congestion, speed) both historical and near real-time
  • safety statistics (fatal incidents, non-fatal incidents, enforcement)
  • dynamic messages
  • parking facilities (location, availability, pricing, rules - including truck parking)
  • bike sharing facilities (sharing infrastructure, parking, availability)
  • ride/car sharing facilities (locations, rates/incentives, availability, ratings)
  • taxi (stations, reservations, fares, wait times/availability)
  • construction projects and other special events
  • realtime snowplow geolocation, sweeping operations
  • transit data (stop locations and features (ADA access), elevators/escalators, schedules, arrival times, service alerts)
  • financial data (revenues, expenditures, budget, cash flow)
  • project data (long-term improvement plans, short-term improvement plans, cost/schedule performance)