Distance Between Bus Stops
EasyUpdated: Aug 2, 2025
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Problem
A bus has n stops numbered from 0 to n - 1 that form a circle. We know the distance between all pairs of neighboring stops where distance[i] is the distance between the stops number i and (i + 1) % n.
The bus goes along both directions i.e. clockwise and counterclockwise.
Return the shortest distance between the given start and destination
stops.
Examples
Example 1

Input: distance = [1,2,3,4], start = 0, destination = 1
Output: 1
Explanation: Distance between 0 and 1 is 1 or 9, minimum is 1.
Example 2

Input: distance = [1,2,3,4], start = 0, destination = 2
Output: 3
Explanation: Distance between 0 and 2 is 3 or 7, minimum is 3.
Example 3

Input: distance = [1,2,3,4], start = 0, destination = 3
Output: 4
Explanation: Distance between 0 and 3 is 6 or 4, minimum is 4.
Constraints
1 <= n <= 10^4distance.length == n0 <= start, destination < n0 <= distance[i] <= 10^4
Solution
Method 1 – Prefix Sum and Circular Traversal
Intuition
The shortest distance between two stops on a circular route is the minimum of the clockwise and counterclockwise distances. We can use prefix sums to quickly compute the distance in either direction.
Approach
- If
start > destination, swap them sostart <= destination. - Compute the clockwise distance as the sum of
distance[start:destination]. - Compute the total distance as the sum of all elements in
distance. - The counterclockwise distance is
total - clockwise. - Return the minimum of the two distances.
Code
Java
class Solution {
public int distanceBetweenBusStops(int[] distance, int start, int destination) {
if (start > destination) {
int tmp = start; start = destination; destination = tmp;
}
int clockwise = 0, total = 0;
for (int i = 0; i < distance.length; ++i) {
total += distance[i];
if (i >= start && i < destination) clockwise += distance[i];
}
return Math.min(clockwise, total - clockwise);
}
}
Python
class Solution:
def distanceBetweenBusStops(self, distance: list[int], start: int, destination: int) -> int:
if start > destination:
start, destination = destination, start
clockwise = sum(distance[start:destination])
total = sum(distance)
return min(clockwise, total - clockwise)
Complexity
- ⏰ Time complexity:
O(n), where n is the number of stops. We sum the distances once. - 🧺 Space complexity:
O(1), as only a few variables are used.