Publishes live arrivals, service messages, and onboard audio-visual stop announcements across rider channels.
Operators responsible for passengers, routes, stops, stations, transit vehicles, arrival predictions, service messages, onboard and wayside signage, automated audio announcement systems, websites and mobile apps cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Real-Time Transit Passenger Information and Onboard Announcements combines connected field data with application software. BusTime and connected onboard systems use live vehicle position, route and schedule data to maintain current arrival predictions and operating messages. The platform generates predicted arrivals and distributes consistent route, stop, vehicle and disruption information to rider channels. Passengers plan trips and transfers while agencies publish service changes, manage signage and announcements.
Teams configure the monitored assets, users, and operating rules. BusTime and connected onboard systems use live vehicle position, route and schedule data to maintain current arrival predictions and operating messages. Live vehicle position feeds arrival predictions distributed to rider signage, audio, web and mobile channels; no single exact public bearer is specified. The platform generates predicted arrivals and distributes consistent route, stop, vehicle and disruption information to rider channels. Passengers plan trips and transfers while agencies publish service changes, manage signage and announcements.
Vendor documentation: link 1 · link 2 · link 3 · vendor website
Evidence level: L3 · Case-documented: how evidence levels work
BusTime and connected onboard systems use live vehicle position, route and schedule data to maintain current arrival predictions and operating messages
Live vehicle position feeds arrival predictions distributed to rider signage, audio, web and mobile channels; no single exact public bearer is specified
The platform generates predicted arrivals and distributes consistent route, stop, vehicle and disruption information to rider channels
Passengers plan trips and transfers while agencies publish service changes, manage signage and announcements
Designed for public transit agencies, bus and rail operators, paratransit providers, airports and universities running fixed-route and scheduled service across small fleets and large multi-modal networks
Authorized users can review current status, history, and operating exceptions
Pittsburgh Regional Transit modernized multimodal operations with Clever Devices.
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Clever Devices, no RFP needed.
Monitors electric bus battery charge, energy use, and range to manage charging and protect service.
Counts boardings and alightings by stop to certify ridership, analyze load, and improve service planning.
Tracks buses and rail vehicles in real time for dispatch, service control, and fleet performance oversight.
Tracks live location, movement history, and usage of equipment, shipments, and high-value goods.
The fleet application maps live and historical activity.
The system evaluates abnormal behavior, component condition, loading risk.
One platform links vehicles, station gates, destination boards, and queues so bus terminal and taxi hub operators automate access…
Cloud-orchestrated Chuck and Porter autonomous mobile robots direct associates through warehouse picking, putaway, replenishment,…
