A Digital Twin-Enabled Parking Assist System Using Raspberry Pi and AWS Cloud Services

---

Abstract

The concept of the Digital Twin (DT) has emerged as a transformative paradigm in intelligent system design, offering the ability to mirror and interact with physical assets in real time. This paper presents the development and demonstration of a DT-enabled IoT-based parking assist framework that closely integrates local sensing, mechanical actuation, and cloud-based analytics and visualization. The core implementation employs a Raspberry Pi 3B+ coupled with an ultrasonic motion sensor, DC and servo motor actuators, and AWS IoT services to enable seamless communication between the edge and cloud. Sensor data is transmitted to AWS IoT Core using the MQTT protocol for secure, low-latency exchanges, while AWS IoT TwinMaker is used to construct an interactive and simplified digital twin representation of the complete parking assist system. A closed feedback loop allows the cloud to transmit operational commands back to the edge device, enabling responsive and adaptive control. The implementation serves as a proof-of-concept, demonstrating the viability of cloud-linked DT architectures for autonomous and semi-autonomous parking assistance applications and highlighting the benefits of integrating scalable edge computing with advanced cloud ecosystems.

---

Keywords

Digital Twin, IoT, Raspberry Pi, AWS IoT Core, AWS IoT TwinMaker, MQTT, Ultrasonic Sensor, DC Motor, Servo Motor.