Investigating Cybersecurity Issues In Active Traffic Management Systems
Zulqarnain H. Khattak, Hyungjun Park, Seongah Hong, Richard Atta, Boateng, and Brian L. Smith

TL;DR
This paper evaluates cybersecurity vulnerabilities in Active Traffic Management systems, develops a prototype with real-time monitoring, and demonstrates how cyberattacks can disrupt traffic flow, highlighting the need for more resilient designs.
Contribution
It introduces a prototype ATM system with a cyberattack monitoring component and assesses its effectiveness in detecting and mitigating cyber threats through simulation.
Findings
Cyberattacks reduced mean traffic speed by 15%.
Monitoring system enabled ATM to revert to safe states.
Cyberattack impact was mitigated by the proposed monitoring system.
Abstract
Active Traffic Management (ATM) systems have been introduced by transportation agencies to manage recurrent and non-recurrent congestion. ATM systems rely on the interconnectivity of components made possible by wired and/or wireless networks. Unfortunately, this connectivity that supports ATM systems also provides potential system access points that results in vulnerability to cyberattacks. This is becoming more pronounced as ATM systems begin to integrate internet of things (IoT) devices. Hence, there is a need to rigorously evaluate ATM systems for cyberattack vulnerabilities, and explore design concepts that provide stability and graceful degradation in the face of cyberattacks. In this research, a prototype ATM system along with a real-time cyberattack monitoring system were developed for a 1.5-mile section of I-66 in Northern Virginia. The monitoring system detects deviation from…
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