Swiftly Solutions for the Public Sector

Real-Time Passenger Predictions is the passenger-facing output of the Swiftly data engine. Real-Time Passenger Predictions is a data feed that sends the industry’s most accurate arrival predictions and real-time crowding information to passenger-facing endpoints. This information is produced in the industry-standard GTFS-rt format, in addition to JSON and XML APIs, to ensure the data can be shared with the channels most commonly used by riders – namely Transit, Google Maps, Apple Maps, dynamic bus shelter signs, SMS & Voice, trip-planning apps, and custom integrations.

Live Operations provides a detailed, real-time picture of an agency’s network in an intuitive web application. Live Operations shows the location, assignment status, and on-time performance or headway adherence of every vehicle and every stop. Live Operations is a visualization of the Swiftly data engine that can be viewed on a map, list, or in a ladder display format. Live Operations allows agency staff to highlight and sort vehicles that need immediate attention based on the most common performance issues such as running early, missing, or bunching.

Rider Alerts is a web application that allows agencies to notify passengers of updates and unexpected changes to service. Immediately send alerts about delays, detours, canceled trips, stop closures, or any other announcement, all directly from Swiftly. Rider Alerts integrates with rider-facing communication channels, including Transit, Google Maps, SMS & Voice, Twitter, and other trip-planning apps. The API also allows custom integrations with agency websites or third-party apps.

Service Adjustments allows agency staff to make ad hoc changes to service – including detours, modifying departure time, canceling trips or blocks, adding trips, closing stops, creating temporary stops, and modifying departure times. Service Adjustments can also be created in CAD/AVL systems and pushed to Swiftly via APIs. Changes made in Service Adjustments instantly update the real-time predictions from the Swiftly data engine.

The Swiftly data engine sends these changes to service to riders through Real-time Passenger Predictions and Rider Alerts; the instructions delivered to operators via Onboard App; and to agency staff through Live Operations, On-time Performance, Run-times, and GPS Playback products.

Onboard App is an onboard application that brings the Swiftly data engine to vehicle operators. Onboard App displays all the information that operators need to deliver reliable service to riders, including real-time schedule/headway adherence, a manual passenger counting functionality, a map view with current location, text-messaging based communication to Dispatch functionality, and relevant service adjustments - including closed stops, detours, modified departure times, and more. Onboard App runs on off-the-shelf Android devices so agencies don’t need to buy proprietary hardware.

On-time Performance breaks down a transit agency’s historical schedule adherence in a customizable web application. Monitor the percentage of departures that are early, late, and on time, viewable for both the system as a whole and for individual routes. On-time Performance allows agencies to get specific about which routes, stops, and times of day contribute most to on-time performance issues.

Run-Times is a planning and scheduling web application that provides observed running time data for every trip down to the stop to stop level. It can be used to compare actual vs. scheduled run times across periods of time, to perform before and after studies, and to leverage Swiftly’s suggestions view for schedule optimizations. Swiftly’s Run-Times module also features CSV export functionality to improve internal collaboration.

GPS Playback is a web application that replays the historical movements of every vehicle in the transit network on a map. With GPS Playback, agency staff can enter any time frame in the past and see the location of any vehicle during that period, along with other relevant information, including the vehicle’s block and trip IDs, the operator driving the vehicle, speed, schedule adherence, headway adherence, and more.

Speed Map is a web application that overlays the historical travel speeds of an agency’s transit system on a map. With Speed Map, agency staff can enter any time frame and see the average speed of vehicles during that period for each segment of any route.

Speed Map allows agencies to observe and identify where corridor improvements are most necessary or transit signal priority projects would be most impactful. It also helps staff instantly perform before and after studies after a service change or infrastructure project is completed.

Headways is a web application that breaks down the agency's historical headway adherence. Headways shows the percentage of total vehicle departures that are bunched, gapped, and as expected, viewable for the network as a whole, for individual routes, for stops along the route, and by time of day. Headways allows agency staff to get specific about which routes, stops, and times of day contribute most to headway inconsistency and vehicle spacing issues.

Operator Reports is a web application that presents on-time performance and layover utilization at the individual operator level. Operator Reports offers agencies a neutral, data-driven perspective into how operators are driving their routes and executing their schedules. With Operator Reports, agency staff can quickly see which operators are driving routes per the schedule, who might need coaching, and whether reliability issues are operator-related at all or if they stem from unrealistic schedules.