Work

Internet-of-Things-based Smart Bus Detection Platform for the Visually Impaired

Year: 2024

Type: article

Abstract: Visually impaired individuals face various commuting challenges, including limited bus accessibility and safety risks. This study proposes a smart bus detection system (SBDS), comprising a radio frequency identification (RFID) sensor, beacon, cloud-computing web server, and iOS application. Leveraging the Internet of Things (IoT) and cloud computing technology, SBDS achieves real-time bus tracking. After installing and testing at multiple bus stations, the SBDS proved reliable for live bus monitoring and assisting visually impaired riders. The web server allows administrators to monitor the system and view bus arrival and departure times, with data for quality assurance. An application was created to provide information in an accessible format, including text for non-visually impaired users and voice announcements for visually impaired users. The result confirms the system’s value for visually impaired bus riders, demonstrating the feasibility of an IoT-based bus detection platform to enhance smart bus services and safety.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13982994

Authors: Steve Rho, Albert Rho

Language: English

Topic: IoT and GPS-based Vehicle Safety Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Reduced inequalities

Open Access status: green

OpenAlex ID: W6893260747

FWCI:

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