known that on average 85 percent of deaths in construction work zones were

Known that on average 85 percent of deaths in

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known that on average, 85 percent of deaths in construction work zones were drivers and passengers in cars. Resultantly, the implementation of safety training is heavily emphasized in the construction industry. However, if the construction industry were to implement fully autonomous equipment and vehicles to the production process, this can possibly reduce the amount of yearly accidents and labor costs dramatically. Additionally, without manual laborers, there would be less of a need for managerial/ supervisorial positions like my own. Currently, many construction companies use driver-assisted or semi-autonomous functionality in heavy equipment on the jobsite. These machines complete the work in less time than manned
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operations, achieving fuel savings and also frees up manpower for other functions, thereby, reducing labor costs by 13 percent. However, studies find that the construction industry is slow to adopt and utilize newer technologies. The average construction company’s information technology budget allocation is lower than any other industries. For autonomous vehicles and equipment to be a high-level risk to construction laborers and employees in the near future, a wider range of fully autonomous vehicles and equipment would have to be commercially available to the construction market (specifically excavation equipment), also, due the industry’s hesitancy to utilize newer technology, they would practically have to be pressured into utilizing or fully implementation autonomous vehicles/equipment into their production process despite the multitude of benefits.
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Bibliography 1. Kevin Bullis, How vehicle automation will cut fuel consumption, MIT Technology Review, October 24, 011. 2. McKinsey Global Institute, Disruptive technologies: Advances that will transform life, business, and the global economy, May 2013.
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  • Spring '17
  • Rashmi Jain
  • Automobile, Driverless car, McKinsey Global Institute, autonomous vehicles

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