A cooperative high-accuracy localization algorithm for improved road workers' safety

Dayal, Sankalp; Mortazavi, Adam; Huynh, Khanh; Gerges, Ramez L.; Shynk, J.J.

doi:10.1109/acssc.2013.6810592

2013 Asilomar Conference on Signals, Systems and Computers 2013

DOI: 10.1109/acssc.2013.6810592

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A cooperative high-accuracy localization algorithm for improved road workers' safety

Sankalp Dayal

Adam Mortazavi

Khanh Huynh

et al.

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2022

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“…The researchers embedded sensors into traffic cones to detect and analyze approaching risks and the sensors could then alert construction zone workers by LED lights or by vibration in the case of a high-risk situation. The study technology warned the construction zone workers of a collision risk as soon as a single cone was hit by an approaching vehicle ( 11 , 12 ).…”

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Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Mohammadi

Park

Asgary

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Police officers on duty on the road for traffic stops, vehicle collisions, traffic direction, and so forth, are exposed to the risk of being hit or even killed by a passing vehicle. Very few studies have tried to develop a system that can warn pedestrians or police officers on duty on the road to take proactive evasive action. This study proposes an Internet-of-Things protection system for police officers on duty on the road. The development of the system envisaged involves three essential phases: 1. detection, 2. risk analysis, and 3. warning and communication. This study focused on the risk analysis phase. We applied a fuzzy rule-based algorithm that integrates four input indicators (lateral distance from police officer to traveled lane, magnitude of speeding, stopping sight distance, and direct distance) into a single estimate of the risk of a collision. The study used data from a real-world situation on Highway 416 in Ontario, Canada to demonstrate the application of the proposed model. The results clearly demonstrated that the proposed model could generate risk estimates that could be used to give timely warning of a possible collision risk to police officers at work on a road.

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confidence: 99%

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Mohammadi

Park

Asgary

et al. 2022

Transportation Research Record: Journal of the Transportation R

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A cooperative high-accuracy localization algorithm for improved road workers' safety

Cited by 1 publication

References 9 publications

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

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