# Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance

## TL;DR

This paper proposes a novel approach to optimize surveillance camera placement in smart cities by leveraging vehicle traffic patterns, aiming to enhance security and facilitate better decision-making.

## Contribution

It introduces the first framework linking vehicle traffic data with camera placement strategies for improved urban security surveillance.

## Key findings

- Demonstrates the effectiveness of traffic-based camera placement strategies
- Provides a publicly available codebase for implementation
- Influences future research in smart city security planning

## Abstract

Security surveillance is one of the most important issues in smart cities, especially in an era of terrorism. Deploying a number of (video) cameras is a common surveillance approach. Given the never-ending power offered by vehicles to metropolises, exploiting vehicle traffic to design camera placement strategies could potentially facilitate security surveillance. This article constitutes the first effort toward building the linkage between vehicle traffic and security surveillance, which is a critical problem for smart cities. We expect our study could influence the decision making of surveillance camera placement, and foster more research of principled ways of security surveillance beneficial to our physical-world life. Code has been made publicly available.