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Case study

Mobile edge AIoT in transportation: Connected vehicles & fleets in public transport

Transportation & mobility

In modern public transportation systems, safety, efficiency, and real-time operational awareness are key. A major city transit authority implemented a Eurotech-based IoT solution for its bus fleet to collect and process data from vehicle subsystems and passenger sensor: supporting AI-powered fleet monitoring, predictive maintenance, and real-time diagnostics.

Industry

Public Transportation

Application

Urban bus fleet management

Objective

Real-time data acquisition and analysis to improve fleet operations, safety, and passenger experience

Challenges

 

The authority needed a cost-effective system that would support predictive maintenance, optimize routes, monitor onboard conditions, and ensure the security and lifecycle management of edge devices. Compliance with transportation certifications like ITxPT and E-Mark was a must, and compliance with IEC 62443-4-2 provided reassurance the system is robust against cyber threats.

Solution

 

Eurotech provided the DynaGATE 10-14 IoT gateway, certified for transportation and equipped with an AI accelerator. The system was deployed with Everyware Software Framework (ESF) for protocol support and Everyware Cloud (EC) in AWS for secure management. Data was collected from CAN bus, video cameras, and passenger counters. The system enabled live tracking of occupancy, door activity, and positional data with integration into cloud analytics.

Results

 

The deployed solution enabled live fleet monitoring and improved situational awareness for operators. Fleet maintenance cycles were optimized using predictive analytics. According to McKinsey*, predictive maintenance could reduce costs by 30%, downtime by 45%, and extend vehicle life by 20%. The transit authority achieved these benefits while staying within a strict integration budget.

* McKinsey & Company, Nov. 2021: “The Internet of Things: Catching up to an accelerating opportunity”