Police patrol is an effective crime prevention tool and boosts public confidence in urban
security. Many interesting decision making problems appear in route design, resource …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Efficient traffic enforcement is an essential, yet complex, component in preventing road
accidents. In this paper, we present a novel model and an optimizing algorithm for mitigating …

Since decades, road traffic congestions have been recognized as an escalating problem in
many metropolitan areas worldwide. In addition to causing substantial number of casualties …

Police patrol aims to fulfill two main objectives namely to project presence and to respond to
incidents in a timely manner. Incidents happen dynamically and can disrupt the initially …

Adversarial risk analysis (ARA) provides a framework to deal with risks originating from
intentional actions of adversaries. We show how ARA may be used to allocate security …

The popularity of mobility-on-demand (MoD) systems boosts online collective multiagent
planning (Online_CMP), where spatially distributed servicing agents are planned to meet …

Due to the increasing need to protect public security, this article studies the security traffic
patrolling (STP) problem, where a collection of police officers plan to patrol around a city. In …

Road accidents are the leading causes of death among youths and young adults worldwide.
Efficient traffic enforcement is an essential, yet complex, component in preventing road …

Motivated by the increasing need of the real-world patrolling, this paper studies a practical
city-scale patrolling (CSP) variant. In CSP, the police are scheduled to patrol city regions …