A Carpooling System To Ease Traffic In Mauritius

In the modern contemporary world, technological advancements have revolutionized the transportation sector. The study begins with an in-depth analysis of the current traffic situation in Mauritius, and then examines existing carpooling systems in other countries. The aim of this research is to provide a more efficient and sustainable transportation solution that can ease traffic congestion in Mauritius. By utilizing state-of-the-art technology, the proposed carpooling system has the potential to significantly reduce the number of cars on the road, leading to reduced traffic congestion, decreased carbon emissions, and improved air quality. The study includes a thorough analysis of the current traffic situation in Mauritius, as well as an examination of existing carpooling systems in other countries. Additionally, the system will incorporate features such as registration, booking, SOS, user ratings, and Google Maps to ensure a positive user experience. On the implementation level of a carpooling system Flutter, Cloud Firebase, and Google Cloud Platform will be used. The proposed carpooling system will utilize real-time data to match drivers with passengers based on their location, destination, date and time. Overall, this dissertation provides a comprehensive framework for the development and implementation of a successful carpooling system in Mauritius.