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http://dx.doi.org/10.12815/kits.2022.21.6.299

A Methodology on System Implementation for Road Monitoring and Management Based on Automated Driving Hazard Levels  

Kyuok Kim (Center for Future Vehicles, Korea Transport Institute)
Sang Soo Lee (Department of Transportation System Engineering, Ajou University)
SunA Cho (Dept. of Mobility Transformation, Korea Transport Institute)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.6, 2022 , pp. 299-310 More about this Journal
Abstract
The ability of an automated driving system is based on vehicle sensors, judgment and control algorithms, etc. The safety of automated driving system is highly related to the operational status of the road network and compliant road infrastructure. The safe operation of automated driving necessitates continuous monitoring to determine if the road and traffic conditions are suitable and safe. This paper presents a node and link system to build a road monitoring system by considering the ODD(Operational Design Domain) characteristics. Considering scalability, the design is based on the existing ITS standard node-link system, and a method for expressing the monitoring target as a node and a link is presented. We further present a technique to classify and manage hazard risk into five levels, and a method to utilize node and link information when searching for and controlling the optimal route. Furthermore, we introduce an example of system implementation based on the proposed node and link system for Sejong City.
Keywords
Automated Driving System; Road Infrastructure Monitoring; Road Driving HAZARD; Monitoring and Optimal Route System;
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