GeoCarTrack is a Python project that allows you to divide a geographical map into rectangles and track cars within specific time slots in those rectangles. It utilizes the OSMnx library for geographical data retrieval, geopandas for handling spatial data, and other supporting libraries.

Before you begin, ensure you have met the following requirements:

• Python (>= 3.6) installed
• Required Python packages: osmnx, geopandas, matplotlib, shapely, datetime, dateutil, re

1. Clone the repository:

   git clone https://github.com/your-username/GeoCarTrack.git

2. Change into the project directory:

   cd GeoCarTrack

3. Install the required packages using pip:

   pip install osmnx geopandas matplotlib shapely

1. Open the main.py file in your preferred Python environment.

2. Modify the following variables according to your needs:

   • place_name: The name of the place for which you want to track cars (e.g., "Rome, Italy").
   • num_rows and num_columns: The number of rows and columns you want to divide the map into.
   • car_dataset_path: The path to the directory containing car dataset text files.
   • time_slot_input: The desired time slot for car tracking in the format "start_time-end_time" (e.g., "14:00:00-23:00:00").
   • date_input: The date for which you want to track cars (format: YYYY-MM-DD).
   • rectangle_id_input: The ID of the rectangle you want to analyze.

3. Run the script:

   python main.py

The script will display a graphical representation of the map divided into rectangles. The selected rectangle will be highlighted in blue, and any cars found within that rectangle and time slot will be listed.

• This project uses the OSMnx library developed by Geoff Boeing (https://github.com/gboeing/osmnx).

OSMnx is open-source software licensed under the MIT License.