A Connected Work Zone Hazard Detection System for Roadway Construction Workers

Han, Wenjun; White, Elizabeth; Mollenhauer, Mike; Roofigari‐Esfahan, Nazila

doi:10.1061/9780784482445.031

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In this connected work zone setting, orange barrels with two-dimensional barcodes were supplied by 3M, and the CV’s infrared devices sent information to the vehicle and the driver by reading the barcode. Han et al ( 13 ) designed a connected work zone alert system with wearable localization devices that can be placed on workers in work zones. This method monitors the potential danger between CVs and workers by calculating the collision risks from both CVs’ and workers’ trajectories.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In current research studies of work zone alert systems in a CV environment, special equipment including smart traffic cones (traffic cones mounted with a GPS sensor) and wearable localization devices (mobile tags that can be placed on the worker with a localization sensor) are required to localize the work zone boundaries ( 13 , 14 ). Such specialized equipment is difficult to deploy and expensive.…”

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confidence: 99%

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Vision-Based Work Zone Safety Alert System in a Connected Vehicle Environment

Cui

Hou

Zhang

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Work zones, being a critical component of roadway transportation systems, can benefit greatly from computer vision-enabled roadway infrastructures, specifically in connected vehicle (CV) environments. Connected infrastructures, such as roadside units (RSU) and on-board units (OBU), can greatly improve the environmental awareness and safety of CVs driving through a work zone. The contribution of this paper lies in developing a vision-based approach to generate work zone safety messages in real time, utilizing video streams from roadside monocular traffic cameras that can be used by CV work zone safety apps on mobile devices to reliably navigate through a work zone. A monocular traffic camera calibration method is proposed to establish the accurate mapping between the image plane and Global Position System (GPS) space. Real test scenarios show that our algorithm can precisely and effectively locate work zone boundaries from a monocular traffic camera in real time. We demonstrate the capabilities and features of our system through real-world experiments where the driver cannot see the work zone. End-to-end latency analysis reveals that the vision-based work zone safety warning system satisfies the active safety latency requirements. This vision-based work zone safety alert system ensures the safety of both the worker and the driver in a CV environment.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%