Dataset: Dynamic Ride-Sharing with HOV Lanes and Meeting Points

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. Then this location information along with other parameters are used as inputs to test the solution algorithm proposed in the report. Therefore, instead of the data sets, the codes used to generate them are stored.

Method used: Randomly generated on a computer. For details, check the experimental section in the report. Hardware info: CPU - AMD RYZEN 9 3900X RAM - 16GB Software info: Language - Python, randomization using the Numpy module with a seed of 1000