Train tracking JSON

JSON Data:

1{ 2 "train_number": "12345", 3 "train_name": "Express", 4 "current_location": { 5 "latitude": 40.7128, 6 "longitude": -74.0060, 7 "station_name": "New York Penn Station", 8 "arrival_time": "2023-03-01T10:00:00-05:00" 9 }, 10 "next_station": { 11 "name": "Philadelphia 30th Street Station", 12 "arrival_time": "2023-03-01T12:00:00-05:00", 13 "departure_time": "2023-03-01T12:10:00-05:00" 14 }, 15 "status": "running" 16} 17 Copy

Description:

Let's break down the different parts of this JSON response:

• The train_number field specifies the train number.

• The train_name field specifies the name of the train.

• The current_location field provides information about the train's current location. It includes the latitude and longitude coordinates of the train's location, the name of the current station (station_name), and the arrival_time of the train at the current station in ISO 8601 format with timezone offset.

• The next_station field provides information about the next station on the train's route. It includes the name of the next station, the arrival_time of the train at the next station in ISO 8601 format with timezone offset, and the departure_time of the train from the next station in ISO 8601 format with timezone offset.

• The status field specifies the current status of the train. It can be "running", "delayed", "cancelled", or "arrived" depending on the current state of the train.

This JSON response provides real-time information about a train's location, next station, and status. It can be used by train passengers to track the progress of their journey and plan accordingly. The current_location field provides the current station where the train is, and the next_station field gives the arrival and departure times for the next station on the train's route. The status field provides additional information about the train's current status, such as if it's delayed or cancelled. Overall, this JSON response provides all the necessary information to track the progress of a train in real time.