Design a taxi recommendation system for airports.

To design a taxi recommendation system for airports, I would focus on several key components:

1. Data Collection: Gather real-time data on taxi availability, location, driver ratings, vehicle types, and pricing. Also, collect passenger data such as destination, number of passengers, luggage, and any special requirements (e.g., child seat, accessibility).

2. Matching Algorithm: Develop an algorithm that considers factors like proximity of available taxis to the airport pickup point, passenger destination, estimated travel time, taxi type (e.g., sedan, SUV, luxury), ride type (e.g., shared, private), and driver ratings. The algorithm should prioritize matching based on user preferences and real-time conditions.

3. User Interface (Passenger): A simple and intuitive mobile app or kiosk interface where passengers can input their destination, select ride preferences (e.g., vehicle type, cost vs. speed), and see recommended taxi options with estimated arrival times and prices.

4. Driver Interface: An app for drivers showing available ride requests, navigation to pickup and drop-off points, fare details, and passenger information. It should also allow drivers to set their availability and preferred working areas.

5. Dynamic Pricing & Surge: Implement a dynamic pricing model that adjusts fares based on demand, time of day, and traffic conditions to balance supply and demand, especially during peak airport hours.

6. Rating & Feedback System: A robust system for both passengers and drivers to rate each other, which feeds back into the matching algorithm to improve service quality and reliability.

7. Scalability & Reliability: Ensure the system can handle a high volume of requests, especially during peak travel times, and is resilient to failures.