Objective
To develop a cloud-connected Fleet Management solution enabling real-time vehicle tracking, predictive maintenance, and data-driven decision-making for optimizing logistics operations and vehicle utilization.
Solution & Approach
Requirement Analysis & Configuration
• Gathered business and technical requirements from OEMs and fleet operators to define key performance and tracking metrics.
• Designed an end-to-end architecture integrating vehicle ECUs, telematics units, and cloud analytics platforms.
• Established configurations for CAN and GPS-based data acquisition, driver behavior monitoring, and performance alerts.
Network Management and Development
• Implemented vehicle-to-cloud communication using MQTT and REST APIs for continuous data transmission.
• Developed backend modules for route optimization, fuel consumption tracking, and driver performance analytics.
• Enabled cross-fleet data synchronization to monitor multi-location vehicle operations in real time.
Memory and Bootloader Integration
• Integrated secure OTA update mechanisms to manage firmware upgrades for fleet ECUs remotely.
• Ensured persistent data logging and synchronization even under poor network connectivity.
• Supported Bootloader configurations for staged update rollouts across distributed fleets.
Security Enhancement
• Enforced end-to-end encryption and secure authentication mechanisms for telematics data.
• Applied role-based access controls and multi-tenant security within the fleet management portal.
• Complied with ISO 27001 and AUTOSAR security standards to safeguard operational data.
Testing and Validation
• Performed functional and integration testing using simulated fleet environments.
• Conducted load testing to validate performance under high data throughput.
• Developed automated health monitoring and alert systems to ensure 24/7 operational uptime.
Impact
• Enabled real-time fleet visibility and predictive maintenance insights, improving uptime by 30%.
• Optimized route planning and fuel efficiency, reducing operational costs significantly.
• Simplified remote diagnostics and software updates, enhancing reliability across the vehicle network.
• Delivered a scalable and secure telematics platform supporting global deployments.
Tech Stack
- Azure IoT Hub
- AWS IoT Core
- MQTT
- REST APIs
- CAN
- GPS
- Python
- Docker
- Kubernetes
- Grafana
- Selenium
- TLS/SSL Security
- ISO 27001
