. If you're additionally provided locations of key transit points (metro stations, bus stops) & trajectories of the transit routes - how would you identify the Mode of Transport for each trip?

To identify the Mode of Transport for each trip, you could follow these steps:

1. Data Collection: Gather all the data you have, including the locations of key transit points (metro stations, bus stops) and trajectories of the transit routes.

2. Data Analysis: Analyze the data to understand the patterns. For example, if a trip starts and ends at a metro station and follows the trajectory of a metro route, it's likely that the trip was made by metro.

3. Use of Machine Learning: You could use machine learning algorithms to predict the mode of transport. This could involve training a model on a dataset where the mode of transport is known, and then using this model to predict the mode of transport for new trips.

4. Validation: Validate your results by comparing them with any available ground truth data. If the ground truth data is not available, you could use other methods such as surveys or manual checks to validate your results.

5. Iteration: Based on the validation results, you might need to iterate on your model or approach to improve the accuracy of your predictions.

Remember, the accuracy of your results will depend on the quality and quantity of your data. The more data you have, and the more accurate it is, the better your results will be.