Transportation

(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)