User-Centered Carpooling System Based on Compatibility and Feedback

The increasing popularity of ridesharing services is mainly due to their cost-effectiveness, as passengers share a vehicle for their commute, thereby reducing the number of vehicles on the road during rush hours. Advancements in smartphone-based technology have enabled ridesharing services to match customers making similar trips in real time, resulting in reduced rates and minimal inconvenience. However, challenges such as ensuring user compatibility and security still persist. This paper addresses the issue of matching co-passenger compatibility and a feedback system that helps in future rides will enhance the overall ridesharing experience. Our systems aim to promote travel with compatible co-passengers. We strive to achieve this by collaborating with passengers who are more compatible based on features such as gender, age, smoking, and profession.By doing so, we aim to improve the overall ridesharing experience for passengers while reducing the number of cars on the road during peak hours. This will not only result in cost savings for passengers but also help alleviate traffic congestion and promote environmental sustainability.