This data is from the project, Dynamic Routing for Ridesharing. The data is randomly generated within grids where each unit of the grid represents a 1-mile by 1-mile square. It is used to generate the origins and destinations of passengers.
Starting in early 2020, the world has experienced huge disruptions due to the COVID-19 pandemic. The analyses carried out in this study will shed light on the complicated impacts of the COVID-19 pandemic on activity participation and travel patterns, including commuting and non-commuting (e.g., discretionary) trips, and the use of various means of travel.
One of the drawbacks of ridesharing is the extra inconvenience to the drivers and passengers of excessive detours to pick up new riders. The research team proposes to develop an optimization-based solution procedure to solve this problem based on iteratively solving the routing and pick up and drop off points.