Weather-Aware Route Visualization

This project integrates real-time weather data with route planning to provide weather forecasts for key waypoints along a driving route. The application uses the OSRM API for route calculation and the Open-Meteo API for weather data. Results are displayed on an interactive map using Folium.

Features

• Route Calculation: Fetches the shortest driving route using the OSRM API.
• Weather Forecasting: Retrieves hourly temperature data for waypoints along the route using Open-Meteo.
• Interactive Visualization: Displays the route and weather data on a Folium map with color-coded markers based on temperature (blue for freezing, green for mild, red for warm).

Installation

1. Clone this repository:

2. Install required packages pip install folium requests openmeteo-requests requests-cache pandas retry_requests numpy

Usage

1. Set up start/end points:

start_lat, start_lon = 40.7128, -74.0060  # New York
end_lat, end_lon = 42.3601, -71.0589  # Boston
start_time = pd.to_datetime("2025-01-12 10:00:00").tz_localize('UTC')

2. Fetch the weather updates along the route:

weather_route = get_weather_along_route(start_lat, start_lon, end_lat, end_lon, start_time)

3. Visualize Weather data

route_map = visualize_route_with_weather(weather_route, start_lat, start_lon)
route_map.save("route_with_weather_times.html")

4. Open the generated route_with_weather_times.html file in your browser to view the interactive map.

Example Output

The interactive map shows:

Waypoints along the route, marked with circle markers.
Weather data (temperature in °F) displayed in a popup at each waypoint.
Color-coded markers for temperature ranges:
Blue: Below freezing (< 32°F).
Green: Mild (32–50°F).
Red: Warm (> 50°F).