Automatic Incident Detection of Automatic Lane Control System on Chalong Rat Expressway

Abstract

Incidents on expressways significantly affect traffic flow and the safety of road users. The Automatic Incident Detection (AID) system, an integral component of the Automatic Lane Control System (ALC) for expressway traffic management, therefore plays a crucial role in mitigating these impacts and restoring normal traffic conditions. This study focuses on developing algorithms for the AID system, using incidents on the Chalong Rat Expressway (operated by the Expressway Authority of Thailand) as a case study. The research involves collecting incident data from the detection system and other sources, and examining additional factors related to incident occurrence, such as incident characteristics, traffic conditions, and technological constraints. The results highlight the strengths and limitations of the AID system. This research aims to provide insights for system developers, researchers, and policymakers to improve automatic incident detection systems in order to enhance safety and reduce the impacts of future road incidents.