REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

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3.3.1 Proposed Technology 3: Autonomous Impact Protection Vehicle Although, the advancement of Connected and Autonomous vehicle (CAV) technologies has grown exponentially in recent years, it is still potentially years away from wide application to travel for the general public. Nonetheless, the use of this technology in specific and controlled areas like IPV is receiving attention from many State DOTs. The autonomous impact protection vehicle (AIPV) also commonly known as autonomous truck-mounted attenuator (ATMA) vehicle is an automated version of IPV in which the driver is removed from potential harm way as the IPV is controlled from a distance. The AIPV system consists of a leader truck (LT) which guides the follower truck (FT) which is usually installed with a truck-mounted attenuator (TMA) as seen in Figure 37. An autonomous leader-follower system composed of actuators, software, electronics, and vehicle-tovehicle (V2V) communication equipment enables the FT to drive autonomously following the LT. The system, using a navigation computer, records velocity, heading, and position information of the human-driven LT to then transmit the information to the unmanned FT vehicle over a V2V communications link using data packages called “crumbs” as illustrated in Figure 38. These transmitted crumbs allow the FT to autonomously control speed and accelerations as well as control lateral movement at a programed gap distance [86, 95, 96].

Figure 37: AIPV system overview [95]

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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

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page 66

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

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

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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

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Figure 19: Temperature segregation identified with thermal imaging [47

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

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

2min
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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

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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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