Relieving of Street-Traffic Congestion in Malaysia Through Carpool Mobile Application, 'SHARide'

Cheah, Kar Man (2023) Relieving of Street-Traffic Congestion in Malaysia Through Carpool Mobile Application, 'SHARide'. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Traffic congestion in densely populated Malaysian cities, such as Kuala Lumpur and Penang, poses a significant challenge due to the high number of vehicles on the road and the reluctance of people to use public transportation, which they perceive as time-consuming and uncomfortable. The SHARide project was conceived to alleviate this problem by introducing a ride-sharing mobile application that enables people with the same origin and destination to share rides, thus reducing the number of cars on the road and mitigating air pollution, which has become increasingly problematic in urban areas. The SHARide application facilitates the creation of trips by drivers and allows passengers to reserve rides. Passengers can search for trips based on specific criteria, such as origin, destination, time, and other requirements. Upon finding a suitable trip, they can reserve a trip, and the driver can choose to accept or decline the reservation request. The app also includes an in-app chat function for communication between drivers and passengers, as well as live location sharing. Furthermore, an AI chatbot is available within the app to address user inquiries and gather feedback. The Incremental Model was employed for the software development of the proposed project, dividing the system into multiple independent modules. Each module undergoes four phases: requirement analysis, system design, implementation, and testing. This methodology is highly suitable for the project due to its cost-effectiveness and flexibility, allowing for adjustments to be made during the development process. The duration of each phase was meticulously planned, and completion dates for each task were established to ensure timely completion of the overall project. The SHARide application adeptly addresses Malaysia's traffic congestion challenges through features such as automatic ride matching, live location sharing, and in-app chat. Its AI chatbot further enhances customer service while encouraging carpooling to reduce traffic, pollution, and fuel consumption. By offering an eco-friendly and cost-effective alternative to conventional transportation options, the app fosters a ride-sharing culture and caters to a growing environmentally conscious market segment. In short, SHARide presents a promising solution to Malaysia's transportation predicaments and contributes to sustainable urban development.