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AAMAS 2019

Efficient City-Scale Patrolling Using Decomposition and Grafting

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

This paper uses an integer program (IP) to formulate the city-scale patrolling (CSP) problem, with the objective of maximizing the police visibility rate (PVR) and the constraint of incident response time guarantee. We decompose the original CSP into two subproblems: minimizing police problem (MinP) and maximizing PVR (MaxP) problem. A polynomial time approximation algorithm is proposed for MinP, and a polynomial time optimal algorithm is proposed for MaxP. We conduct experiments to demonstrate the efficiency of the proposed algorithm.

Authors

Keywords

  • Police Patrolling
  • multi-objective
  • Approximation
  • Decomposition

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
622882706699443673
v2026.09.13