| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 92 |
| Year of Publication: 2026 |
| Authors: Moses Kamuri, H. Chege Nganga, Stephen Kiambi |
10.5120/ijca2026926497
|
Moses Kamuri, H. Chege Nganga, Stephen Kiambi . An IoT-based Pay-As-You-Go System for Motorcycle Loan Repayment and Monitoring. International Journal of Computer Applications. 187, 92 ( Mar 2026), 7-11. DOI=10.5120/ijca2026926497
This paper presents a framework for affordable motorcycle ownership using Internet of Things (IoT) technologies and a micro-financing repayment model. The system integrates GPS, GSM, microcontrollers, and an intuitive user interface to enable lenders to track motorcycle usage, automate billing, and remotely manage motorcycles purchased through loan schemes. Prototype testing evaluated data accuracy, repayment computation, and system responsiveness. Results demonstrated reliable travel data capture, transparent repayment records, and effective fleet monitoring via a centralized dashboard. Automated monitoring improved accountability, reduced misuse, and enhanced lender borrower communication. These findings indicate that the platform provides a scalable, digitally driven approach to mobility financing, increasing operational efficiency, transparency, and equitable access to transportation. By supporting sustainable, income-generating mobility opportunities, the system demonstrates the potential of IoT-enabled platforms to optimize loan management and foster trust in digitally mediated transportation services.