Identification of workstations in earthwork operations from vehicle GPS data

Fu, Jiali; Jenelius, Erik; Koutsopoulos, Haris N.

doi:10.1016/j.autcon.2017.08.023

Cited by 15 publications

(7 citation statements)

References 14 publications

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“…If such CI 21,4 embedded sensors are not available in the equipment, users can install low-cost sensor-based technologies (i.e. GPS, RFID, wireless sensors) for equipment tracking and monitoring as demonstrated in previous studies in the literature (Cheng et al, 2011;Fu et al, 2017;Wu et al, 2019).…”

Section: Masonry Work Casementioning

confidence: 99%

Tracking major resources for automated progress monitoring of construction activities: masonry work case

Güven

Ergen

2021

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Purpose The purpose of this study is to monitor the progress of construction activities in an automated way by using sensor-based technologies for tracking multiple resources that are used in building construction. Design/methodology/approach An automated on-site progress monitoring approach was proposed and a proof-of-concept prototype was developed, followed by a field experimentation study at a high-rise building construction site. The developed approach was used to integrate sensor data collected from multiple resources used in different steps of an activity. It incorporated the domain-specific heuristics that were related to the site layout conditions and method of activity. Findings The prototype estimated the overall progress with 95% accuracy. More accurate and up-to-date progress measurement was achieved compared to the manual approach, and the need for visual inspections and manual data collection from the field was eliminated. Overall, the field experiments demonstrated that low-cost implementation is possible, if readily available or embedded sensors on equipment are used. Originality/value Previous studies either monitored one particular piece of equipment or the developed approaches were only applicable to limited activity types. This study demonstrated that it is technically feasible to determine progress at the site by fusing sensor data that are collected from multiple resources during the construction of building superstructure. The rule-based reasoning algorithms, which were developed based on a typical work practice of cranes and hoists, can be adapted to other activities that involve transferring bulk materials and use cranes and/or hoists for material handling.

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Section: Masonry Work Casementioning

confidence: 99%

Tracking major resources for automated progress monitoring of construction activities: masonry work case

Güven

Ergen

2021

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“…A department official confirmed that they do not. Nevertheless, it is reasonable to expect that in a future "internet of things" more heavy machinery will have this capacity (e.g., Fu et al, 2017). Many morphodynamic models are free, open-source software that evolve with the needs of the user communities.…”

Section: 1029/2018jf004957mentioning

confidence: 99%

Is There a Bulldozer in your Model?

Lazarus

Goldstein

2019

JGR Earth Surface

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“…The heading difference of a GPS point ! at timestamp is defined as the change in moving direction between timestamps and − 1 [18]. The reason of keeping track of the heading information of the vehicles is that the clusters will be connected into road segments as directional links.…”

Section: ) Cluster Generation Along Vehicle Trajectoriesmentioning

confidence: 99%

“…The two dump trucks (blue for truck 1 and green for truck 2) travel mostly between the two loading stations and the dumping station, and occasionally to other locations. The locations of loading and dumping stations were estimated from the GPS dataset using the method of [18] and are depicted in purple in Figure 4(b), 4(c). Two loading stations and one dumping station were detected.…”

Section: A Experimental Designmentioning

confidence: 99%