Route-maps

import requests from geopy.distance import geodesic from geopy.geocoders import Nominatim

Initialize Geopy Nominatim

geolocator = Nominatim(user_agent="route_optimizer")

API Keys

TOMTOM_KEY = "6Wv8CPsRASpUe3ABwOyfonLiaN30kgE9"
AQICN_KEY = "f5b372c33c9e1f543e26d718e757c1e38a19ad69"

Function to get coordinates of a location

def get_coordinates(location_name): location = geolocator.geocode(location_name) if location: return location.latitude, location.longitude else: print(f"Error: Could not retrieve coordinates for '{location_name}'.") return None

Function to calculate distance

def calculate_distance(start, end): return geodesic(start, end).kilometers

Function to get traffic data from TomTom API

def get_traffic_data(start_coords, end_coords): url = f"https://api.tomtom.com/traffic/services/4/flowSegmentData/absolute/{start_coords[0]},{start_coords[1]},{end_coords[0]},{end_coords[1]}?key={TOMTOM_KEY}" try: response = requests.get(url) if response.status_code == 200: data = response.json() return data.get("flowSegmentData", {}) else: print(f"TomTom Traffic API Error: {response.status_code}") return None except Exception as e: print(f"Traffic API Error: {e}") return None

Function to get AQI and weather data from AQICN API

def get_aqi_data(city_name): url = f"http://api.waqi.info/feed/{city_name}/?token={AQICN_KEY}" try: response = requests.get(url) if response.status_code == 200: data = response.json() if data.get("status") == "ok": return data["data"]["aqi"], data["data"].get("forecast", {}) print(f"AQICN API Error: {data.get('data', 'Unknown Error')}") except Exception as e: print(f"AQI API Error: {e}") return None, None

Function to estimate emissions

def estimate_emissions(distance_km, vehicle_type): fuel_efficiency = 15 # km per liter for gasoline vehicle if vehicle_type == "electric": return 0 # Electric vehicles produce no emissions else: return (distance_km / fuel_efficiency) * 2.3 # kg CO2 per liter of gasoline

Main function

def main(): # Input locations and vehicle type start_location = input("Enter start location: ") end_location = input("Enter destination: ") vehicle_type = input("Enter vehicle type ('electric' or 'gasoline'): ").strip().lower()

# Get coordinates
start_coords = get_coordinates(start_location)
end_coords = get_coordinates(end_location)

if not start_coords or not end_coords:
    print("Error: Unable to fetch coordinates. Check the location names.")
    return

# Calculate distance
distance = calculate_distance(start_coords, end_coords)

# Fetch traffic data
traffic_data = get_traffic_data(start_coords, end_coords)
traffic_speed = traffic_data.get("currentSpeed") if traffic_data else "Unavailable"

# Fetch AQI data
aqi, weather = get_aqi_data(end_location)
if not aqi:
    aqi = "Unavailable"

# Estimate emissions
emissions = estimate_emissions(distance, vehicle_type)

# Display results
print("\nDynamic Route Optimization Summary:")
print(f"Start Location: {start_location} ({start_coords})")
print(f"End Location: {end_location} ({end_coords})")
print(f"Total Distance: {distance:.2f} km")
print(f"Traffic Speed at Destination: {traffic_speed} km/h")
print(f"Estimated CO2 Emissions: {emissions:.2f} kg")
print(f"Air Quality Index (AQI) at Destination: {aqi}")
print(f"Weather Forecast: {weather if weather else 'Unavailable'}")

# Optimization suggestion
if emissions < 20 and traffic_speed != "Unavailable" and traffic_speed > 50:
    print("This route is optimal with minimal emissions and smooth traffic.")
else:
    print("Consider alternate routes to reduce emissions or avoid traffic.")

if name == "main": main()