Since the introduction of rideshare application Uber in 2010, the rideshare has grown to become one of the largest new economies of the 21st century. With a global market value of $133 billion, Uber and many of its rideshare competitors have become an integral component of the world’s economy. This economic potential requires the successful transportation of pedestrians using everyday drivers in the most optimal manner possible, and with rising population densities this optimization is becoming more and more crucial to combat congestion. To achieve such a task, simulation models can be utilized to determine the necessary vehicles needed and routes taken to ensure customers receive transportation to their destination on time.
Rideshare systems are a great solution for transporting for groups of people who travel to a common workplace or area within a community. This method reduces individual toll costs, stress of driving, carbon footprint, traffic congestion and demand for parking spaces. For the system to work, the group needs to be stable, optimizing the time of travel of each passenger to prepare for the next request of passengers. Simulation of a rideshare model can help to achieve this optimization of cars needed to efficiently transport pedestrians.