Transit data platform scope
Transit data platform scope
Transit data platform scope
Suggested general requirements
Commercial off-the-shelf (COTS) cloud-based Software-as-a-Service (SaaS) platform that is already developed, deployed, and functioning in the real world
Hosted by the vendor such that no system software needs to be maintained by the Agency (cloud-based)
Accessible through any modern web browser. The solution should be entirely cloud-based and shall not require VPNs
99.9% uptime or greater, with over-the-air updates and upgrades included in the license for no additional cost
Unlimited platform logins for agency staff
Data storage for a minimum of 3 years, unless the contract is terminated prior
Data quality and monitoring
Ability to ingest incoming Automatic Vehicle Location (AVL) data from various devices up to every 1 second
Ability to combine multiple vehicle position feeds, in real-time, with the intent of producing a higher level of data accuracy and data redundancy in case one feed goes down
Ability to ingest vehicle assignment data
Automatic assignment technology to ensure that data is correctly matched to the right route, trip, etc. even if an operator does not login to provide assignment
Ability to automatically ingest and process GTFS schedule data, up to every hour if changes have occurred. No human input should be required
Tools to automatically monitor data feed uptime and health
Ability to generate and store data attributes, such as on-time performance, actual headways, and scheduled headways for every Global Positioning System (GPS) position update—not just when a vehicle is at a stop or a timepoint
Real-time passenger information
Passenger predictions
Ability to generate accurate ETAs/predictions for passengers based on historical data and real-time road conditions which update with every new GPS coordinate in real time
Ability to support GTFS-rt, including:
- GTFS-rt Vehicle Positions
- GTFS-rt Trip Updates
- GTFS-rt ServiceChanges v3.1
Ability to factor in real-time service adjustments including:
- Canceled trips
- Added trips
- Detours
- Skipped stops
- Modified departure times
Ability to avoid “ghost buses” in predictions
Ability to include real-time vehicle crowding levels in predictions when data is available
Ability for passengers to access passenger information, including ETAs and service alerts, via an automated SMS service
Ability for passengers to access passenger information, including ETAs and service alerts, via an automated Interactive Voice Response (IVR) service
Passenger-facing service alerts
Ability to create and edit real-time service alerts at the system, route, or stop level
Ability to view upcoming, current, and past service alerts through real-time vehicle monitoring functionality
Ability to publish passenger-facing service alerts in the GTFS-rt Service Alerts format and to Twitter
Ability to automatically populate passenger-facing service alerts based on real-time changes to service
Proof of successful outcomes at a transit agency of similar size around service alerts to riders
Real-time and historical analytics
Live map and AVL monitoring
Ability to view a live map of all fixed route vehicles that are reporting location in real time
Ability to display relevant vehicle information, including route, trip, block, operator, and on-time performance for vehicles throughout the network
Ability to filter and toggle through map, list, and ladder views to easily find and identify potential service issues
Proof of successful outcomes at a transit agency of similar size around AVL monitoring
Dynamic service management
Ability to control which agency staff can adjust service
For approved staff, ability to create the following service changes:
- Add trip
- Cancel trip
- Create detour
- Close stop
- Modify departure times
For approved staff, ability to change the assignment of a vehicle, shifting it from one route/trip/block to another
Ability to see real-time changes to service through the real-time vehicle monitoring functionality
Ability to continue to provide real-time information and predictions for detoured routes
Ability to reflect service changes through GTFS-rt data feeds and automatically update passenger-facing data
Ability to integrate detours created by the system with common mobile applications, like Transit App, to better inform riders
Ability to incorporate information about changes to service into historical data reports
Proof of successful outcomes at a transit agency of similar size around dynamic service management
GPS replay
Ability to play back historical vehicle locations and movements in a dynamic map, by route or a specified vehicle, and by date/time range
Ability to investigate vehicles by:
- Route
- Destination
- Trip or block being operated
- On-time performance or headway adherence
- Date and time range
Proof of successful outcomes at a transit agency of similar size around vehicle movement data
On-time performance reporting
Ability to view a summary of network-wide on-time performance for all routes, including daily, weekly, and monthly trends
Ability to investigate on-time performance issues by:
- Route
- Stop along a route
- Distribution of how early and how late
- Time of day
- Tabular heatmap format organized by schedule
Ability to:
- Edit how “on-time” is defined
- Adjust the dates/times over which the reports are run
Reports include information about service changes that impact on-time performance
Reports include all scheduled stops with, as well as without, an observed departure time (including missed data and missing service)
Proof of successful outcomes at a transit agency of similar size around on-time performance monitoring
Speed map
Ability to display average vehicle speeds for a selected route at a resolution of up to 25 meters to determine specific intersections or route segments that may be causing delays
Ability to view speeds by different percentiles, averages, and by variability to compare the median speed relative to free-flow speeds
Ability to customize views based on:
- Route
- Route direction
- Date and time range
- Day types (weekday, Saturday, Sunday)
- Relative speed ranges
Ability to download speed data to CSV
Ability to access data via API and import into GIS
Proof of successful outcomes at a transit agency of similar size around speed map analysis
Operator performance reports
Ability to view on-time performance at the operator level, for all operators
Ability to view operator on-time performance reports by:
- Route, trip, and stop
- All stops or timepoints only
- Customizable dates and time ranges
- Layover use and utilization
- On-time performance
Proof of successful outcomes at a transit agency of similar size around operator reports
Run-time analysis
Ability to analyze run-times and schedule optimization, including:
- Overall system performance
- Route-level running times
- Trip-level running times for a route
Ability to generate suggested run-times that maximize potential on-time performance based on historical run-time data
Ability to calculate impact on on-time performance if suggested runtimes were used in the schedule
Ability to view and filter run-times data on:
- Stop-to-stop route segments
- Timepoint-to-timepoint route segments
Proof of successful outcomes at a transit agency of similar size around running time analysis
Headway reporting
Ability to view a summary of the overall headway adherence across all routes, including the number and percentage of departures that are bunched, gapped, and expected based on acceptable headway criteria
Ability to investigate headway performance by:
- Route
- Stop along a route
- Time of day
Ability to:
- Edit definitions of “expected,” “bunched,” or “gapped” headways
- Adjust the dates/times over which the reports are run
- View all stops or timepoints only
Proof of successful outcomes at a transit agency of similar size around on-time performance monitoring
Driver-facing onboard application
Driver-facing onboard application that gives schedule and headway adherence guidance to operators as well as a visual map of their route
Ability of application to run on commercially available tablets
Ability to inform vehicle operators of changes to service
Map view that includes detours and other changes to service, including stop closures, modified departure times, etc.
Ability to use text-based communication between dispatch and operator within the application
Ability to count passengers in real time
Proof of successful outcomes at a transit agency of similar size around driving-facing applications
Connections with onboard hardware
Automatic Passenger Counters (APC)
Ability to track boardings and alightings with greater than 95% accuracy
Ability to collect boarding and alighting data and match to GTFS route IDs, trip IDs, block IDs, direction IDs, stop IDs, etc. (i.e. no additional data feeds or configuration should be required)
Ability to determine accurate vehicle occupancy figures off of the raw boarding and alighting data
Ability to provide passengers with live crowding estimates within the GTFS-rt format as well as a JSON API for riders to access this data in commonly used mobile apps
Ability to display live crowding estimates within a live map and other real-time vehicle monitoring tools
Ability to store data and keep accessible for historical ridership analysis for a minimum of 3 years
Proof of successful outcomes at a transit agency of similar size around APC data
Automatic Voice Announcement System (AVAS)
Ability to function fully off public GTFS and GTFS-rt data feeds already available (i.e. no additional data feeds or configuration should be required)
Ability to comply with all ADA guidelines for next stop announcements
Ability to trigger arrival announcements as a vehicle nears a stop, within a user-configured distance of the stop
Ability to trigger next-stop announcements as a vehicle departs a stop, within a user-configured distance of the stop
Ability to customize and configure announcements for events including stop requested, door opening, door closing, lift requested, and other common on-vehicle announcements
Ability to indicate arrivals on a LED display within the vehicle
Ability to access and manage settings via online portal
Proof of successful outcomes at a transit agency of similar size around automatic voice announcements
Application Programming Interface (API)
A secure and authenticated API that allows API keys to be created for each individual consumer of the data, as well as rules surrounding which data they can access
Ability to support all common GTFS-realtime data feeds, including:
- GTFS-rt Trip Updates
- GTFS-rt Vehicle Positions
- GTFS-rt Service Alerts
- GTFS-rt ServiceChanges v3.1
Ability to process real-time and historical data in a human-readable format such as JavaScript Object Notation (JSON)
Ability to provide thorough API documentation to help staff and partners understand how to access the data
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Last Name, Agency
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