Thats a really thoughtful take on the Travel Around the World problem you have explained the balance between fuel management and city traversal really clearly. I like how you related it to real world route planning since it highlights how optimization in algorithms mirrors actual travel logistics. The sliding window method definitely makes the approach more efficient by avoiding redundant checks and its interesting to see how it can be compared to managing timing and distance in real trips similar to what I have seen while looking into different travel route planners. when you implemented the greedy logic did you face any tricky edge cases where the fuel exactly matched the tank limit or dropped to zero at a city stop?