Google Map APIS calculation example

 To calculate the number of Google Maps API calls per booking in a taxi booking app, you need to consider the various scenarios where Google Maps services are typically used. Here's a breakdown:

1. Initial Location Search:

• API Used: Places API / Geocoding API
• Description: Users typically enter a pickup location and destination. These locations are either searched via the Places API (autocomplete) or converted from an address to geographic coordinates using the Geocoding API.
• Count: 2 API calls (one for pickup, one for destination).

2. Route Calculation:

• API Used: Directions API
• Description: Once the pickup and destination locations are provided, the Directions API is used to calculate the route between them.
• Count: 1 API call

3. Distance Matrix for Multiple Drivers:

• API Used: Distance Matrix API
• Description: To find the nearest available driver, the Distance Matrix API might be used to calculate distances between the user and multiple drivers.
• Count: 1 API call (depending on the number of drivers and locations; this may increase with more locations).

4. Live Tracking:

• API Used: Directions API / Roads API
• Description: During the ride, the app might use the Directions API for real-time updates or the Roads API to snap the driver's location to roads.
• Count: Multiple API calls, depending on how often the app updates the location (e.g., every few seconds).

5. Fare Calculation:

• API Used: Distance Matrix API / Directions API
• Description: To calculate the fare based on distance and time, the Distance Matrix or Directions API might be used.
• Count: 1 API call (if not already done during route calculation).

6. Reverse Geocoding for Driver/Passenger Arrival:

• API Used: Geocoding API / Reverse Geocoding API
• Description: When the driver or passenger arrives at the destination, reverse geocoding might be used to get the address from geographic coordinates.
• Count: 1 API call

Total API Calls Per Booking:

• Minimum: 6 API calls (assuming one driver, without frequent location updates).
• Maximum: Can be significantly higher depending on the number of drivers, frequency of location updates, and additional services used.

Optimizations to Reduce API Calls:

1. Caching: Cache API results like geocoded locations and route calculations where possible to avoid redundant API calls.
2. Batch Requests: Use batch requests (where supported) to handle multiple locations or routes in one API call.
3. Update Frequency: Adjust the frequency of live tracking updates to balance accuracy and API usage.

This approach should give you a clear understanding of how to calculate and optimize API usage for each booking in your taxi booking app.