REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

Page 80

Figure 40: Density Profiling System (DPS) in a) robotic platform, and (b) conventional man operated cart. We recommend the following steps for the initial implementation of the conventional DPS: 1) Perform demonstrations with coring on marked locations to attest the device accuracy. 2) Conduct training of operators to calibrate the device according to the asphalt mixture being used. 3) Conduct training of operators and inspectors to interpret the collected data. 4) Develop time-effective data collection protocols. 5) Refine methodologies for use of DPS for determination of optimum roller patterns. 6) Develop strategic plans in case of low-compaction data. 7) Establish compaction criteria for the use of the DPS along with coring. 8) Modify PA specifications to include the use of the DPS.

4.3 Autonomous Impact Protection Vehicle The Autonomous Impact Protection Vehicle is a novel technology that is capturing the attention of many state DOTs because it removes the deliberate risks associated with driving an impact protection vehicle. The recent innovations in connected and automated vehicles permitted significant improvements in the technology and addressed many limitations identified in earlier field trials. Nevertheless, substantial testing and training might be required for implementation in PA. These observations led to the classification of the AIPV as a technology requiring addition development, but available for the implementation in the near future. We recommend the following steps for the initial implementation of the conventional DPS: 1) Perform demonstrations of the AIPV in low-volume roads to attest the system functionality and safety. 2) Establish various pavement maintenance activities and traffic volumes that would be optimal for AIPV. 71


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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
page 39

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
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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