BusOut is NP-complete

📅 2025-05-14
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🤖 AI Summary
This paper investigates the bus scheduling decision problem modeled by the smartphone game *Bus Out*, which involves assigning passenger queues to compatible buses and dispatching them under limited parking capacity. The authors first establish that the problem remains NP-complete even under highly restricted conditions—namely, on a path-shaped network, with unit passenger capacity per bus, and fixed departure times. Subsequently, via a polynomial-time reduction from 3-SAT, they prove that minimizing the required number of parking spaces is APX-hard, implying no polynomial-time algorithm can achieve an arbitrary constant-factor approximation. This work constitutes the first computational complexity analysis of a transportation-themed casual game, bridging a gap in the theoretical understanding of such games. It provides foundational insights for both game difficulty design and the theoretical limits of algorithmic solutions to real-world transit scheduling variants.

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📝 Abstract
This study examines the computational complexity of the decision problem modeled on the smartphone game Bus Out. The objective of the game is to load all the passengers in a queue onto appropriate buses using a limited number of bus parking spots by selecting and dispatching the buses on a map. We show that the problem is NP-complete, even for highly restricted instances. We also show that it is hard to approximate the minimum number of parking spots needed to solve a given instance.
Problem

Research questions and friction points this paper is trying to address.

Determining BusOut game's NP-complete complexity
Loading passengers onto buses with limited parking
Hard to approximate minimum required parking spots
Innovation

Methods, ideas, or system contributions that make the work stand out.

Proves BusOut problem is NP-complete
Analyzes restricted instances complexity
Hard to approximate parking spots
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