Car pooling application for UTAR Kampar student

Tan, Jian Hua (2025) Car pooling application for UTAR Kampar student. Final Year Project, UTAR.

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Abstract

This project lies within the field of web-based application development, specifically targeting intelligent carpooling systems for university communities. It focuses on the design and implementation of a carpooling platform tailored for UTAR Kampar students, addressing the lack of a centralized, reliable, and affordable car-sharing solution. The primary objective is to provide a cost-effective alternative to commercial ride-hailing services like Grab by facilitating a student-exclusive platform to offer and request rides based on real-time and recurring schedules. Key features include user registration, ride listings, bookings, and ride management, with Google Maps API integration for geolocation and route assistance. Dialogflow is employed to deliver an AI-powered chatbot that helps users search for available rides through natural language interaction. A key novelty introduced in the second phase is timetable-based ride creation and search, which allows students to auto-generate recurring ride offers based on their weekly class schedules. This feature significantly reduces manual input, increases consistency in ride availability, and streamlines the carpooling experience by aligning with students' academic timetables. The project followed the Agile methodology throughout the Software Development Life Cycle (SDLC), incorporating iterative development, continuous feedback, and incremental improvements. The implemented prototype has been tested to enable smooth interaction between drivers and passengers, improve time efficiency in finding suitable rides, and foster a stronger community-based transportation culture. Conclusively, this system has shown promising results in reducing transportation friction among students and introduces a novel approach by integrating academic timetables with carpool scheduling—a unique feature not commonly found in existing ride-sharing platforms.

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