REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

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References 1. CPWR – The Center for Construction Research and Training. The Construction Chart Book. 6th Edition, CPWR, 2018. 2. Bryden JE, Andrew LB. Serious and Fatal Injuries to Workers on Highway Construction Projects. Transportation Research Record. 1999;1657(1):42-47. 3. Young Ai Kim; Boong Yeol Ryoo; Yong-Su Kim; and Woon Chan Huh. Major Accident Factors for Effective Safety Management of Highway Construction Projects. Journal of Construction Engineering and Management, ASCE, Volume 139, Issue 6, 2013. 4. Md Mahmudur Rahman, Lesley Strawderman, Teena Garrison, Deborah Eakin, Carrick C. Williams. Work zone sign design for increased driver compliance and worker safety. Accident Analysis & Prevention, Vol. 106, 2017, Pages 67-75. 5. Tang Q, Cheng Y, Hu X, Chen C, Song Y, Qin R. Evaluation Methodology of LeaderFollower Autonomous Vehicle System for Work Zone Maintenance. Transportation Research Record. January 2021. 6. Pratt, S.G., Fosbroke, D.E. and Marsh, S.M. Building Safer Highway Work Zones: Measures to Prevent Worker Injuries from Vehicles and Equipment. National Institute for Occupational Safety and Health (NIOSH) Publication No. 2001-128., 2001. 7. Emrah Kazan, Mumtaz A. Usmen. Worker safety and injury severity analysis of earthmoving equipment accidents, Journal of Safety Research,Vol 65, 2018, Pages 73-81 8. FHWA. International Technology Scanning Program: Bringing Global Innovations to U.S. Highways, Office of International Programs, Federal Highway Administration, 2002. 9. Reeder, G. D.; Nelson, G. A. 3D Engineered Models for Highway Construction: The Iowa Experience. Report No. InTrans Project 14-489. Iowa Department of Transportation, 2015. 10. Heikkila, R.; Jaakkola, M. Automation of Road Construction – The State of the Art in Europe. Proceedings of the 23rd International Symposium on Automation and Robotics in Construction. Tokyo, Japan, 2006 11. Torres, H. N.; Ruiz, M. J.; Chang, G. K; Anderson, J. L.; Garber, S. Automation in Highway Construction Part I: Implementation Challenges at State Transportation Departments and Success Stories. Report No. FHWA-HRT-16-030. Federal Highway Administration, 2018. 12. NCHRP. Use of Automated Machine Guidance within the Transportation Industry. The National Academies of Sciences, Engineering, and Medicine. ISBN 978-0-309-47485-6 | DOI 10.17226/25084, 2018. 13. Fort Robotics. Safe Remote Control: Remote Controller for Autonomous Systems and Heavy Equipment. Available at: https://fortrobotics.com/wireless-industrial-remote-control/. Accessed on June 28th, 2021. 14. CivRobotics. CivRobotics Products. Available at: https://www.civrobotics.com/products. Accessed on June 28th, 2021. 15. Boerner, A. Remote-controlled Demolition Robot Cuts Labor Costs 90% on Texas Bridge Project. For Construction Pros.com, 2018. Available at: https://www.forconstructionpros.com/profit-matters/article/20989120/remote-controlleddemolition-robot-cuts-labor-costs-90-on-texas-bridge-project. Accessed on June 28th, 2021.

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Appendix B: Technology Transfer Workshops

14min
pages 91-100

Appendix A: IRISE survey

1min
pages 89-90

References

13min
pages 82-88

operated cart

1min
pages 80-81

Figure 38: AIPV system layout [97

4min
pages 67-69

accuracy tests: (a) following accuracy, (b)lane changing, (c) roundabout operation, (e) minimum turn radius, (f) U-turn [86

12min
pages 71-79

Figure 35: Impact testing of TMA on a tractor [89

1min
page 64

Figure 37: AIPV system overview [95

1min
page 66

Figure 36: Accident involving IPV of the Virginia DOT [92

1min
page 65

Figure 33: Dielectric Maps from Joint Surveys of I-95 near Pittsfield, Maine [63

1min
page 59

Figure 32: Joint survey [63

1min
pages 57-58

Figure 27: A prototype of MnDOT remotely operated rolling asphalt density meter

6min
pages 50-53

Figure 30: Real-time data visualization and comparison with cores [63

1min
page 55

Figure 31: Cherryfield, Maine calibration model [63

1min
page 56

Figure 24: Cleaned temperature profile [52

4min
pages 42-44

Figure 23: Examples of Pave Project ManagerTM detailed reports with temperature profiles and paver speed or time diagram [53

1min
pages 40-41

Figure 25: PDP instrument background principle of operation [73

1min
page 48

Table 3: Specification recommendations for LaDOTD [48

5min
pages 45-47

Figure 22: On-board computer output for real time feedback [53

1min
page 39

Figure 19: Temperature segregation identified with thermal imaging [47

1min
page 35

Figure 6: Conduit remote inspection using (a) crawler robot (b) UAS [22

1min
page 22

Figure 5: Marker placement with (a) manual method and (b) automated system [19

2min
pages 20-21

Figure 21: Infrared sensors attached to paver for real-time thermal data acquisition [52,53

1min
page 38

Figure 20: Distress due to temperature segregation causing inadequate compaction [50

3min
pages 36-37

Figure 9: Infrared sensors attached to paver for real-time thermal data acquisition [26] and the latest version of IR temperature scanners [27

1min
page 25

Figure 18: Autonomous impact protection vehicle [44

2min
pages 33-34

Figure 4: Example of bridge deck demolition using a remote-controlled robot [15

1min
page 19
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