[AAA] Team Assignment 2025

Introduction

This project explores ride-hailing dynamics in Chicago using historical taxi trip data as a proxy, enriched with weather and optional point-of-interest data. We cleaned and discretized the data spatially (using H3 hexagons) and temporally, analyzed demand patterns, and developed an interactive KPI-Dashboard. We applied clustering techniques to identify spatial hotspots, built predictive models using support vector machines and neural networks, and compared their performance across different resolutions. Finally, we implemented a reinforcement learning agent to optimize smart charging strategies for an electric vehicle fleet.

Installation & Setup

1. Install Python 3.11
2. Install poetry
3. Check whether poetry was correctly installed and added to your path.

   poetry --version

   Use poetry version >= 1.5.0
4. Download the Poetry virtual environment with the Python libraries defined in the pyproject.toml file. Navigate into the "AAA_Team_Assignment_2025" folder and excecute "poetry install".

   cd AAA_Team_Assignment_2025

   poetry install

Order of execution

The Python Notebooks are located in the AAA_Team_Assignment_2025/src directory and should be executed in the order of their numbering, i.e.:

• 00_0_load_data.ipynb
• 01_0_data_preparation.ipynb -> to validate generated samples use: 01_2_data_validity.ipynb
• 02_descriptive_spatial_analytics.ipynb
• 01_1_data_preparation.ipynb
• 03_predictive_analytics.ipynb
• 04_smart_charging_using_reinforcement_learning.ipynb

Dashboard

The additional interactive KPI-Dashboard should be started after the 02_descriptive_spatial_analytics.ipynb notebook, since the resulting data of this notebook is neccessary to run it. The KPI-Dashboard can be executed by the following command in the terminal:

poetry run streamlit run dashboard.py

While most of the functionalities of the dashboard should be self explaining here is a list of key usage possibilities:

• Select H3 resolution, time bin, metric, and pickup/dropoff view from the sidebar.
• Explore ride-hailing activity across Chicago via an interactive hex map.
• Click on a hex to view detailed stats and top connected locations.
• Switch between citywide and selected-hex views in the tabs.