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Automatic Vehicle Crash Detection and Emergency Assistance

by Cambridge Mobile Telematics

Phone or IoT motion sensors verify crashes on-device and deliver location, speed, and g-force through crash APIs so insurers can dispatch help and open claims immediately.

Cambridge Mobile Telematics
Industry
Transportation & LogisticsFleet & Vehicles
Use cases
Worker SafetyCondition MonitoringFleet Tracking
Deployment
Public SaaSEdge/Local
Services
System IntegrationSupport & MaintenanceData AnalyticsSoftware Platform
Available in
United States
Add to RFP
The challenge

What operators are up against

Operators responsible for drivers, insured vehicles, smartphones, IoT devices, crash scenes, emergency services, roadside providers and insurer response teams 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.

The solution

How Automatic Vehicle Crash Detection and Emergency Assistance addresses it

Automatic Vehicle Crash Detection and Emergency Assistance combines connected field data with application software. Phone or IoT motion sensors capture impact, g-force, speed, location, time and driver context during a suspected vehicle crash. On-phone algorithms verify the crash and CMT services deliver critical incident details through crash APIs, including location and intensity. Response teams contact the driver, dispatch suitable emergency or roadside assistance and initiate digital first notice of loss when appropriate.

How it works

Teams configure the monitored assets, users, and operating rules. Phone or IoT motion sensors capture impact, g-force, speed, location, time and driver context during a suspected vehicle crash. Smartphones, connected vehicles and supported IoT tags use configuration-specific network paths; no single exact transport applies to the full workflow. On-phone algorithms verify the crash and CMT services deliver critical incident details through crash APIs, including location and intensity. Response teams contact the driver, dispatch suitable emergency or roadside assistance and initiate digital first notice of loss when appropriate.

AnalyzePublic SaaS / Edge/Local platform
ActSystem Integration, Support & Maintenance, Data Analytics, Software Platform

Vendor documentation: vendor website

Evidence level: L1 · Vendor-stated: how evidence levels work

Why teams choose it

Faster help: Alerts response teams within seconds of a verified crash.

Better dispatch context: Matches assistance to crash intensity and precise scene location.

Earlier customer contact: Lets insurers reach drivers when support is most needed.

Lower claim leakage: Encourages prompt use of coordinated assistance and in-network services.

Automatic crash sensing

Detects suspected impacts from smartphone or supported IoT-device sensors.

On-phone verification

Applies local crash algorithms before sending an incident alert.

Precise scene context

Reports supported location, time, driver, intensity, speed and g-force details.

Crash API delivery

Sends verified event information into the customer response system.

Assistance orchestration

Supports emergency-service and roadside-assistance decisions.

Digital loss notification

Lets insurers begin customer outreach and first notice of loss promptly.

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