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A Connected Work Zone Hazard Detection System for Roadway Construction Workers
Roadway construction workers have to work in close proximity to construction equipment as well as high-speed traffic, exposing them to an elevated risk of collisions. This research aims to develop a solution to reduce the risk of collisions at roadway work zones. To this end, an automated hazard detection and prevention system is designed to detect potential threats and provide warning of potential collisions. A hazard detection algorithm is developed to identify potential proximity hazards between workers and connected/automated vehicles (CAV) and/or construction equipment. A real-time work zone map is developed that displays the real-time locations of workers, equipment, and CAVs. To assure the accuracy of hazard detection, the algorithm accommodates various parameters including variant safety distance for workers-on-foot, vehicles and equipment, direction of movement, distance from border, shape of road, etc. The designed system is developed and evaluated through various experiments on the Smart Road at Virginia Tech.
A Connected Work Zone Hazard Detection System for Roadway Construction Workers
Roadway construction workers have to work in close proximity to construction equipment as well as high-speed traffic, exposing them to an elevated risk of collisions. This research aims to develop a solution to reduce the risk of collisions at roadway work zones. To this end, an automated hazard detection and prevention system is designed to detect potential threats and provide warning of potential collisions. A hazard detection algorithm is developed to identify potential proximity hazards between workers and connected/automated vehicles (CAV) and/or construction equipment. A real-time work zone map is developed that displays the real-time locations of workers, equipment, and CAVs. To assure the accuracy of hazard detection, the algorithm accommodates various parameters including variant safety distance for workers-on-foot, vehicles and equipment, direction of movement, distance from border, shape of road, etc. The designed system is developed and evaluated through various experiments on the Smart Road at Virginia Tech.
A Connected Work Zone Hazard Detection System for Roadway Construction Workers
Han, Wenjun (Autor:in) / White, Elizabeth (Autor:in) / Mollenhauer, Mike (Autor:in) / Roofigari-Esfahan, Nazila (Autor:in)
ASCE International Conference on Computing in Civil Engineering 2019 ; 2019 ; Atlanta, Georgia
Computing in Civil Engineering 2019 ; 242-250
13.06.2019
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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