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Identification of workstations in earthwork operations from vehicle GPS data
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik.
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik.ORCID-id: 0000-0002-4106-3126
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik. Department of Civil and Environmental Engineering, Northeastern University, 360 Huntington Avenue, Boston, USA.
2017 (engelsk)Inngår i: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 83, s. 237-246Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The paper proposes a methodology for the identification of workstations in earthwork operations based on GPS traces from construction vehicles. The model incorporates relevant information extracted from the GPS data to infer locations of different workstations as probability distributions over the environment. Monitoring of workstation locations may support map inference for generating and continuously updating the layout and road network topology of the construction environment. A case study is conducted at a complex earthwork site in Sweden. The workstation identification methodology is used to infer the locations of loading stations based on vehicle speeds and interactions between vehicles, and the locations of dumping stations based on vehicle turning patterns. The results show that the proposed method is able to identify workstations in the earthwork environment efficiently and in sufficient detail.

sted, utgiver, år, opplag, sider
ELSEVIER SCIENCE BV , 2017. Vol. 83, s. 237-246
Emneord [en]
Earthwork operations, Global Positioning System (GPS), Location detection, Probabilistic model, Kernel density estimation
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Identifikatorer
URN: urn:nbn:se:kth:diva-215781DOI: 10.1016/j.autcon.2017.08.023ISI: 000411533400020Scopus ID: 2-s2.0-85027503397OAI: oai:DiVA.org:kth-215781DiVA, id: diva2:1151165
Merknad

QC 20171023

Tilgjengelig fra: 2017-10-23 Laget: 2017-10-23 Sist oppdatert: 2017-10-23bibliografisk kontrollert

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