REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

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Figure 38: AIPV system layout [97] The first AIPV program in the USA was launched by the Colorado DOT in 2017 [98]. The positive experience led to an autonomous maintenance technology pool fund including 12 paid state DOT members [99]. The Pool Fund currently has 14 State DOT members, including Alabama, California, Colorado, Illinois, Indiana, Kansas, Minnesota, Nevada, North Dakota, Ohio, Oklahoma, Texas, Virginia, and Washington DOTs. The Missouri DOT awarded a contract to purchase two AIPV vehicles for work zone maintenance in 2018 [87]. The following year, the University of Tennessee Center for Transportation Research announced an AIPV pilot demonstration. In Florida, the University of Florida in collaboration with the Florida DOT is also initiating plans to evaluate AIPV [95]. Aside from these states, California. Minnesota and North Dakota have purchased AIPV systems and vehicles indicating that the interest for this technology is increasing fast among the country’s DOTs. The details of the initial experience of these states and research institutions with AIPV will be discussed later. 3.3.1.1 Advantages and Disadvantages As mentioned before, the main benefit of the AIPV system is removing the driver from harm’s way, which includes potential death or lifelong injury. According to a 2021 study, developers also point out other advantages of the AIPV [96]:

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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

0
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

0
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Figure 19: Temperature segregation identified with thermal imaging [47

0
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

0
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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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