Urban centers face two huge contradictions: while digital technology has advanced exponentially, and we can now digitally connect to anything, we are increasingly limited in how we can travel from one place to another due to outdated transportation systems. When we look at how many people are making up cities around the world, combined with the poor resource allocation that is currently being undertaken by government entities in those cities, it is clear that there is currently a crisis characterized by expensive logistics and traffic congestion. Much of that waste is caused by the conventional way in which people own cars, which leads to the accumulation of multiple vehicles on the same stretch of road, while the amount of available usage is significantly below expected means of transportation usage levels. This massive inefficiency in urban areas leads to billions of dollars’ worth of productivity being lost each year and greatly contributes to the growing negative effects of urban sprawl and environmental degradation on our planet.

This paper presented a mobile application designed to address the critical gap in fair cost distribution for shared transportation. By combining GPS-based distance tracking with algorithmic cost calculation and integrated payment processing, we remove significant barriers to ride-sharing adoption. Our analysis of existing systems revealed that general expense-sharing apps lack transport-specific features, while ride-sharing platforms struggle with transparency and settlement friction. The proposed solution bridges this gap by automating the entire process – from trip creation through payment completion. The system contributes to sustainable mobility goals by making shared transport more attractive and hassle-free. Fair, transparent cost distribution builds trust among passengers and encourages repeated use of ride-sharing options over private vehicles.

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