What if you could instantly know the exact number of platforms needed to keep every train on time?
Why Minimum Number of Platforms in DSA Java?
Imagine you are managing a busy train station with many trains arriving and departing at different times. You need to decide how many platforms to build so that no train has to wait.
Without a clear method, you try to track each train's arrival and departure manually on paper.
Manually checking each train's schedule to find overlapping times is slow and confusing. You might miss overlaps or count platforms incorrectly, causing delays or wasted space.
As the number of trains grows, this manual method becomes impossible to manage accurately.
The Minimum Number of Platforms concept uses sorting and simple counting to find the exact number of platforms needed. It checks overlaps efficiently by comparing arrival and departure times.
This method quickly tells you the minimum platforms required so trains never wait, saving time and space.
for each train: for each other train: if times overlap: increment platform count
sort arrivals and departures while arrivals and departures remain: if next arrival < next departure: increment platform count else: decrement platform count
This concept enables efficient scheduling and resource planning in busy transport hubs and similar scenarios.
Railway stations use this to build just enough platforms so trains arrive and leave smoothly without waiting or overcrowding.
Manual checking of overlapping train times is slow and error-prone.
Sorting arrivals and departures helps count overlaps efficiently.
Minimum Number of Platforms finds the least platforms needed to avoid train delays.
Practice
Solution
Step 1: Understand the problem goal
The problem asks for the minimum number of platforms required so that no train has to wait for another to leave.Step 2: Clarify what is being counted
We count how many trains overlap in time on the station to find the minimum platforms needed.Final Answer:
The least number of platforms needed so no train waits -> Option AQuick Check:
Minimum platforms = max trains overlapping [OK]
- Confusing total trains with platforms needed
- Ignoring overlapping times
- Counting earliest arrival only
Solution
Step 1: Identify the need for quick minimum departure tracking
We need to know the earliest train departure to free a platform, so a min-heap helps track minimum departure time efficiently.Step 2: Match data structure to problem
PriorityQueue in Java is a min-heap, perfect for this use case to manage platforms dynamically.Final Answer:
PriorityQueue (Min-Heap) -> Option AQuick Check:
Min-heap tracks earliest departure [OK]
- Using HashMap which doesn't maintain order
- Using Stack which is LIFO, not suitable
- Using LinkedList which is inefficient for min queries
int[] arrivals = {900, 940, 950, 1100, 1500, 1800};
int[] departures = {910, 1200, 1120, 1130, 1900, 2000};
System.out.println(minPlatforms(arrivals, departures));
// Assume minPlatforms returns the minimum platforms neededSolution
Step 1: Sort arrival and departure times
Arrivals: 900, 940, 950, 1100, 1500, 1800 Departures: 910, 1120, 1130, 1200, 1900, 2000Step 2: Count overlapping trains
At 900-910: 1 train At 940-1120: 2 trains overlap At 950-1130: 3 trains overlap (max) After 1130, trains start leaving, so max platforms needed = 3Final Answer:
3 -> Option CQuick Check:
Max overlap = 3 platforms [OK]
- Not sorting times before processing
- Counting total trains instead of overlaps
- Mixing arrival and departure arrays
public static int minPlatforms(int[] arr, int[] dep) {
Arrays.sort(arr);
Arrays.sort(dep);
int i = 0, j = 0, platforms = 0, maxPlatforms = 0;
while (i < arr.length && j < dep.length) {
if (arr[i] <= dep[j]) {
platforms++;
i++;
} else {
platforms--;
j++;
}
maxPlatforms = Math.max(maxPlatforms, platforms);
}
return maxPlatforms;
}Solution
Step 1: Analyze the comparison condition
The condition arr[i] <= dep[j] counts a train arriving exactly when another departs as overlapping, increasing platforms unnecessarily.Step 2: Correct the condition to avoid overcounting
Changing to arr[i] < dep[j] treats simultaneous arrival and departure as no overlap, which is correct for platform counting.Final Answer:
The condition should be arr[i] < dep[j] instead of <= to avoid counting simultaneous arrival and departure -> Option BQuick Check:
Use strict less than for arrival vs departure [OK]
- Using <= causes overcounting platforms
- Not sorting both arrays
- Incorrect loop condition
[1000, 1010, 1025, 1030, 1040] and departure times [1020, 1035, 1045, 1050, 1100], what is the minimum number of platforms needed if trains arriving exactly when another departs do NOT require a new platform?Solution
Step 1: Sort and analyze arrival and departure times
Arrivals: 1000, 1010, 1025, 1030, 1040 Departures: 1020, 1035, 1045, 1050, 1100Step 2: Count overlapping trains considering no extra platform if arrival equals departure
1000-1020: 1 train 1010-1035: overlaps with first, total 2 1025-1045: first gone at 1020, overlaps with second, total 2 1030-1050: overlaps with second (till 1035) and third (till 1045), total 3 1040-1100: second gone at 1035, overlaps with third, fourth, total 3 (max)Step 3: Adjust for arrival equals departure rule
No arrivals equal departures here, so max platforms = 3Final Answer:
3 -> Option DQuick Check:
Max overlap = 3 platforms [OK]
- Counting equal arrival and departure as overlap
- Not sorting times
- Miscounting overlaps
Ready to prove it?
Pass the test and this pattern moves unknown
