About Swiftly
Swiftly is a transit data platform from Swiftly that powers the network with leading data insights. It combines Swiftly Transit Data Platform, real-time passenger information, and performance insights so transit agencies can monitor vehicle locations and understand operational performance. This platform supports proactive operations and offers integrations and APIs for improved functionality. Users can access accurate data to improve scheduling and planning processes, improving overall service quality. Key capabilities: real-time tracking performance analytics operational management passenger communication API integrations Best for: transit agencies that need reliable data for effective network management.
Swiftly by GoSwift.ly is a comprehensive, cloud-based transit management platform designed to enhance the efficiency, reliability, and passenger experience of public transportation systems. It leverages real-time vehicle location data, schedule inputs via GTFS, and optional passenger-count or assignment data to provide highly accurate predictions of vehicle positions and arrival times. For riders, this translates to precise, up-to-date trip information and alerts regarding delays or disruptions, improving overall satisfaction and trust in transit services. For operations teams, Swiftly offers dynamic fleet visibility, enabling proactive management of disruptions, detours, and schedule deviations. Its Insights module delivers robust analytics, allowing agencies to review historical trends, evaluate on-time performance by route or period, and make data-driven decisions for future planning. The Onboard App, designed for standard tablets, provides drivers with real-time feedback on schedule adherence, helping them adjust pace and improve reliability. Swiftly’s hardware-agnostic design allows integration with existing CAD/AVL systems, while its API layer supports customization and expansion. By combining real-time tracking, predictive analytics, operational dashboards, and rider-facing tools, Swiftly empowers transit agencies to optimize fleet performance, reduce delays, and enhance operational transparency.
Pros & Cons
- Provides very accurate real‑time predictions, which improves passenger trust and reduces wait times.
- Empowers operations teams to proactively respond to disruptions, improving service reliability.
- Onboard App for drivers supports performance feedback without requiring expensive proprietary hardware.
- Historical data insights help transit planners and schedulers make more informed decisions.
- APIs and open standards make it easy to integrate Swiftly with existing transit systems and tools.
- Designed primarily for public transit agencies, so it may not be well-suited for private or commercial fleet-only use.
- Advanced features like predictive analytics and real-time operations require solid data infrastructure and skilled users.
- Real-time operations depend on reliable GPS or AVL data; poor signal or data quality can affect prediction accuracy.
- Onboard app requires operator adoption; some drivers may be resistant or require training.
- Using APIs and managing data integrations adds complexity and requires some technical capacity.
Features
Key features
Uses live and historical data to predict where vehicles are now and where they’re headed next.
Provides tools to monitor and act on service disruptions, detours, or schedule deviations in real time.
Offers a mobile app for vehicle operators with feedback on schedule adherence and real‑time route information.
Delivers performance insights using historical metrics like on-time performance, dwell times, and headways.
Compatible with GTFS, GTFS-rt, and other transit standards; supports APIs for integration with existing systems.
Additional features
Predictive arrival times and rider alerts based on live data.
Tracks trends over time to help agencies optimize schedules and resource allocation.
Consolidates vehicle location, operator behavior, and schedule adherence into a unified operations view.
Allows transit agencies to make on‑the-fly changes like detours or canceled stops and push updates accordingly.
Provides a dashboard for managing vehicles, devices, GTFS data, and user permissions.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About Swiftly
Swiftly is a transit data platform from Swiftly that powers the network with leading data insights. It combines Swiftly Transit Data Platform, real-time passenger information, and performance insights so transit agencies can monitor vehicle locations and understand operational performance. This platform supports proactive operations and offers integrations and APIs for improved functionality. Users can access accurate data to improve scheduling and planning processes, improving overall service quality. Key capabilities: real-time tracking performance analytics operational management passenger communication API integrations Best for: transit agencies that need reliable data for effective network management.
Swiftly Details
Swiftly's In-App Market Place
Does Swiftly have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), CAD (C$), AUD (A$), JPY (¥), CNY (¥), INR (₹), BRL (R$), MXN ($)
Pros & Cons
- Provides very accurate real‑time predictions, which improves passenger trust and reduces wait times.
- Empowers operations teams to proactively respond to disruptions, improving service reliability.
- Onboard App for drivers supports performance feedback without requiring expensive proprietary hardware.
- Historical data insights help transit planners and schedulers make more informed decisions.
- APIs and open standards make it easy to integrate Swiftly with existing transit systems and tools.
- Designed primarily for public transit agencies, so it may not be well-suited for private or commercial fleet-only use.
- Advanced features like predictive analytics and real-time operations require solid data infrastructure and skilled users.
- Real-time operations depend on reliable GPS or AVL data; poor signal or data quality can affect prediction accuracy.
- Onboard app requires operator adoption; some drivers may be resistant or require training.
- Using APIs and managing data integrations adds complexity and requires some technical capacity.
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