Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system

Teizer, Jochen; Allread, Ben S.; Fullerton, Clare E.; Hinze, Jimmie

doi:10.1016/j.autcon.2010.02.009

Cited by 368 publications

(194 citation statements)

References 11 publications

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“…Having workers in too close proximity to the operation of construction equipment has remained a key problem in the construction industry (Teizer, Allread, Fullerton, & Hinze, 2010). Statistical investigations from previous research show foundation excavation to be one of the construction activities most prone to hazardous conditions (Cheng, Ko, & Chang, 2002).…”

Section: Unsafe Conditionmentioning

confidence: 99%

“…Heinrich's original theory has been modified several times over the years to create a more accurate and quantifiable image of the accident incidence, as it is shown in Figure 2.3. Safety research has been focused on the upper part of the injury pyramid, but there is merit focusing on the lower part of the pyramid (Teizer et al, 2010). Currently, few firms record statistical data on incidents that occur in the lower part of the pyramid.…”

Section: Measurement Of Safety Performancementioning

confidence: 99%

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Safety Activity Analysis Framework to Evaluate Safety Performance in Construction

Awolusi

2017

J. Constr. Eng. Manage.

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The construction work environment remains one of the most hazardous worldwide. As a result of dangerous working environments, construction workers often face safety and health risks throughout the construction process. However, it is worth noting that an emphasis on construction safety has increased mainly in the aspect of safety performance, and efforts are required to not only monitor but also seek to improve safety performance. The main objective of this research is to assess safety performance on construction sites using safety activity analysis technique. A safety activity analysis framework as well as a safety activity analysis tool are developed to facilitate the collection and analysis of the safety activity data for continuous evaluation of safety performance.Additionally, a case study is carried out to implement the framework and tool on an active construction project. Activity observation is used to continuously collect data of safe behaviors and conditions, along with unsafe behaviors and conditions on construction sites for analysis and decision making. It is expected that the observation results can be used to set improvement targets and provide continuous feedback so that construction workers can adjust their performance accordingly. The findings of the case study show that the safety index of the construction site ranged from 37.0% to 62.8% with an average of 53.8%. Results obtained also indicate that the stage of a construction process can affect the safety performance of a project. It was recommended that well-informed decisions and far-reaching efforts have to be made to ensure the safety index is brought as close as possible to 100% by reducing the unsafe behaviors and conditions on the construction site.iii

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Section: Unsafe Conditionmentioning

confidence: 99%

Section: Measurement Of Safety Performancementioning

confidence: 99%

Safety Activity Analysis Framework to Evaluate Safety Performance in Construction

Awolusi

2017

J. Constr. Eng. Manage.

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“…Other preventive methods are based on techniques implementing proximity detection and pro-active warning systems -a method that alerts workers in advance before entering a blind spot or getting too close the operating equipmentrelated hazards. In particular, technologies based on magnetic signals show promising results in being effective in providing alerts to equipment operator and ground workers when hazardous proximity situations occur between them [10][11].…”

Section: Hazardous Proximity Situationsmentioning

confidence: 99%

“…They generally can be prevented from occurring by (1) the consciousness and awareness of the operator and ground worker, (2) education and training, (3) safety equipment (e.g., high-reflectivity safety vests or apparel), or (4) pro-active real-time detection and alert systems. Many researchers have attempted to increase the consciousness of the equipment operator by examining the visibility of typical construction equipment and identifying the blind spot which may cause accidental collision [4][5]10]. Other preventive methods are based on techniques implementing proximity detection and pro-active warning systems -a method that alerts workers in advance before entering a blind spot or getting too close the operating equipmentrelated hazards.…”

Section: Hazardous Proximity Situationsmentioning

confidence: 99%

Automated Collection, Identification, Localization, and Analysis of Worker-Related Proximity Hazard Events in Heavy Construction Equipment Operation

Teizer¹,

Golovina²,

Wang³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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The construction industry measures worker safety performance through lagging indicators such as counting numbers of illnesses, injuries, and fatalities. Active leading indicators, such as capturing hazardous proximity situations between ground workers and heavy construction equipment, provide an additional metric for construction site personnel safety performance without incurring worker accidents. This article presents an algorithm for recording, identifying, and analyzing interactive hazardous proximity situations between ground workers and heavy construction equipment. Spatialtemporal GPS data of ground worker and heavy equipment movements are analyzed to automatically measure the frequency and duration of identified hazardous proximity situations. Individual periodic ground worker and equipment operator safety performance with regards to exposure to hazardous proximity situations is reported in detail. The results are integrated with previous research on blind spots and other safety deficiencies of the equipment. By measuring and analyzing leading indicator data of ground workers and heavy equipment, safety managers can identify hazardous situations that may otherwise lead to incidents. Knowledge generated about hazardous proximity issues are disseminated to construction personnel through enhanced safety training and education. Mitigation measures can also be taken for safer construction equipment operation.

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“…Ruff (2005) found that each of these technologies has a unique set of limitations when deployed on a construction site including availability of signal strength, size, weight, power source, alert method, precision, reliability, and alert distance. Many of these limitations were assessed when the systems were deployed in a simulated construction environment and active (battery-powered) radio frequency (RF) technology demonstrated an ability to satisfy many of these parameters (Teizer et al 2010). …”

Section: Proximity Detection and Alert Technologymentioning

confidence: 99%

Potential of Leading Indicator Data Collection and Analysis for Proximity Detection and Alert Technology in Construction

Marks¹,

Wetherford²,

Teizer³

et al. 2013

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Fatalities resulting from ground workers colliding with objects and construction equipment accounted for approximately 18% of the total construction fatalities experienced in 2010. Current injury and fatality measuring methods have proven to be inadequate due to their use of passive measures of safety rather than a more active approach, such as the use of leading indicator data (also called near misses) of hazardous proximity situations between ground workers and heavy equipment on construction sites. The objectives are to create and evaluate the effectiveness of a reliable algorithm for collecting and analyzing the resulting leading indicator data from hazardous proximity situations. Numerous experiments emulating typical interactions between workers-on-foot and heavy equipment are used to evaluate the proximity sensing and detection technology. Safety leading indicator data (also called near misses) generated by the proximity sensing and detection technology during the experimental trials are used to create and assess the resulting algorithm. Results from the experiments indicate that leading indicator data generated from these systems can be processed and analyzed to identify hazardous proximity situations and incidents on construction sites.

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Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system

Cited by 368 publications

References 11 publications

Safety Activity Analysis Framework to Evaluate Safety Performance in Construction

Safety Activity Analysis Framework to Evaluate Safety Performance in Construction

Automated Collection, Identification, Localization, and Analysis of Worker-Related Proximity Hazard Events in Heavy Construction Equipment Operation

Potential of Leading Indicator Data Collection and Analysis for Proximity Detection and Alert Technology in Construction

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