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How to Solve Car Fleet Problem
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Start Free for WindowsMedium#853
LeetCode ProblemCar Fleet
There are n cars at given miles away from the starting mile 0, traveling to reach the mile target. You are given two integer arrays position and speed, both of length n, where position[i] is the starting mile of the ith car and speed[i] is the speed of the ith car in miles per hour. A car cannot pass another car, but it can catch up and then travel next to it at the speed of the slower car. A car fleet is a car or cars driving next to each other. The speed of the car fleet is the minimum speed of any car in the fleet. If a car catches up to a car fleet at the mile target, it will still be considered as part of the car fleet. Return the number of car fleets that will arrive at the destination.
ArrayStackSortingMonotonic Stack
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Problem Breakdown
Understanding the Car Fleet Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There are n cars at given miles away from the starting mile 0, traveling to reach the mile target. You are given two integer arrays position and speed, both of length n, where position[i] is the starting mile of the ith car and speed[i] is the speed of the ith car in miles per hour. A car cannot pass another car, but it can catch up and then travel next to it at the speed of the slower car. A car fleet is a car or cars driving next to each other. The speed of the car fleet is the minimum speed of any car in the fleet. If a car catches up to a car fleet at the mile target, it will still be considered as part of the car fleet. Return the number of car fleets that will arrive at the destination.
MediumProblem #853
LeetCodeCar Fleet
Related Topics
ArrayStackSortingMonotonic Stack
How Phantom Code Helps
Get real-time assistance for Car Fleet problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
target = 12, position = [10,8,0,5,3], speed = [2,4,1,1,3]
Output
3
# Example 2
Input
target = 10, position = [3], speed = [3]
Output
1
# Example 3
Input
target = 100, position = [0,2,4], speed = [4,2,1]
Output
1
Constraints
n == position.length == speed.length
1 <= n <= 105
0 < target <= 106
0 <= position[i] < target
All the values of position are unique.
0 < speed[i] <= 106
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Solve Car Fleet — There are n cars at given miles away from the starting mile 0, traveling to reac...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Car Fleet and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Car Fleet during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Car Fleet?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Car Fleet?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Car Fleet type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Car Fleet interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Car Fleet during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Car Fleet style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Car Fleet interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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