Increasing city safety awareness regarding disruptive traffic stream

TL;DR

This paper explores automatic knowledge extraction from traffic violation reports combined with demographic data using inductive logic programming to enhance city safety awareness and understand violation behaviors.

Contribution

It introduces a novel approach combining traffic violation reports and demographics with inductive logic programming for knowledge discovery.

Findings

Identified patterns linking violation behaviors to demographic factors

Enhanced understanding of traffic violation impacts on city safety

Proposed a framework for automated traffic safety analysis

Abstract

Transportation systems serve the people in essence, in this study we focus in traffic information related to violation events to respond to safety requirements of the cities. Traffic violation events have an important role in city safety awareness and secure travel. In this work, we describe the use of knowledge discovery from traffic violation reports in combination with demographics approach using inductive logic programming to automatically extract knowledge about traffic violation behavior and their impact on the environment.