Literature DB >> 36157137

A Rapid Review of Collision Avoidance and Warning Technologies for Mining Haul Trucks.

Jonathan K Hrica1, Jennica L Bellanca1, Iman Benbourenane1, Jacob L Carr1, John Homer1, Kathleen M Stabryla2.   

Abstract

Given the recent focus on powered haulage incidents within the US mining sector, an appraisal of collision avoidance/warning systems (CXSs) through the lens of the available research literature is timely. This paper describes a rapid review that identifies, characterizes, and classifies the research literature to evaluate the maturity of CXS technology through the application of a Technology Readiness Assessment. Systematic search methods were applied to three electronic databases, and relevant articles were identified through the application of inclusion and exclusion criteria. Sixty-four articles from 2000 to 2020 met these criteria and were categorized into seven CXS technology categories. Review and assessment of the articles indicates that much of the literature-based evidence for CXS technology lies within lower levels of maturity (i.e., components and prototypes tested under laboratory conditions and in relevant environments). However, less evidence exists for CXS technology at higher levels of maturity (i.e., complete systems evaluated within operational environments) despite the existence of commercial products in the marketplace. This lack of evidence at higher maturity levels within the scientific literature highlights the need for systematic peer-reviewed research to evaluate the performance of CXS technologies and demonstrate the efficacy of prototypes or commercial products, which could be fostered by more collaboration between academia, research institutions, manufacturers, and mining companies. Additionally, results of the review reveal that most of the literature relevant to CXS technologies is focused on vehicle-to-vehicle interactions. However, this contrasts with haul truck fatal accident statistics that indicate that most haul truck fatal accidents are due to vehicle-to-environment interactions (e.g., traveling through a berm). Lastly, the relatively small amount of literature and segmented nature of the included studies suggests that there is a need for incremental progress or more stepwise research that would facilitate the improvement of CXS technologies over time. This progression over time could be achieved through continued long-term interest and support for CXS technology research.

Entities:  

Keywords:  Collision avoidance; Collision warning; Haul trucks; Mining; Technology

Year:  2022        PMID: 36157137      PMCID: PMC9490765          DOI: 10.1007/s42461-022-00633-w

Source DB:  PubMed          Journal:  Min Metall Explor        ISSN: 2524-3462


  9 in total

1.  Preventing collisions involving surface mining equipment: a GPS-based approach.

Authors:  Todd M Ruff; Thomas P Holden
Journal:  J Safety Res       Date:  2003

2.  The causes and control of loader- and truck-related fatalities in surface mining operations.

Authors:  Vladislav Kecojevic; Mark Radomsky
Journal:  Inj Control Saf Promot       Date:  2004-12

3.  Evaluation of PICO as a knowledge representation for clinical questions.

Authors:  Xiaoli Huang; Jimmy Lin; Dina Demner-Fushman
Journal:  AMIA Annu Symp Proc       Date:  2006

Review 4.  A typology of reviews: an analysis of 14 review types and associated methodologies.

Authors:  Maria J Grant; Andrew Booth
Journal:  Health Info Libr J       Date:  2009-06

5.  Application of radar to detect pedestrian workers near mining equipment.

Authors:  T M Ruff
Journal:  Appl Occup Environ Hyg       Date:  2001-08

6.  Evaluation of a radar-based proximity warning system for off-highway dump trucks.

Authors:  Todd Ruff
Journal:  Accid Anal Prev       Date:  2005-08-29

7.  Why Do Haul Truck Fatal Accidents Keep Occurring?

Authors:  Jennica L Bellanca; Margaret E Ryan; Timothy J Orr; Robin J Burgess-Limerick
Journal:  Min Metall Explor       Date:  2021-04

8.  Stand-alone and hybrid positioning using asynchronous pseudolites.

Authors:  Ciro Gioia; Daniele Borio
Journal:  Sensors (Basel)       Date:  2014-12-24       Impact factor: 3.576

9.  Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines.

Authors:  LaTasha R Swanson; Jennica L Bellanca; Justin Helton
Journal:  Saf Health Work       Date:  2019-09-25
  9 in total

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