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Identification of workstations in earthwork operations from vehicle GPS data
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-4106-3126
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Increasing availability and the use of Global Positioning System (GPS) devices open great opportunities for various transportation applications. The authors propose a generative probabilistic model for extraction of locations of workstations in earthwork operations using raw GPS traces from construction vehicles. The probabilistic model incorporates the GPS measurements with relevant information extracted from the GPS data to compute locations of different workstations as probability distribution over the environment. The location of workstations will be used as a part of a map inference method for generating and continuously updating the layout and road network topology of the construction environment. A detailed case study was conducted with construction equipment at a complex site. The authors first demonstrate the probabilistic model to extract the locations of loading stations using vehicle speed and interactions among vehicles, and then to discover dumping stations with help of vehicle moving patterns. The results from the experiment show that the proposed method is able to discover important places and workstations for earthwork environment efficiently and in sufficient details.

Place, publisher, year, edition, pages
Transportation Research Board , 2016.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-200576OAI: oai:DiVA.org:kth-200576DiVA, id: diva2:1069620
Conference
Transportation Research Board 95th Annual Meeting
Note

QC 20170201

Available from: 2017-01-30 Created: 2017-01-30 Last updated: 2017-03-22Bibliographically approved
In thesis
1. Evaluating and Improving the Transport Efficiency of Logistics Operations
Open this publication in new window or tab >>Evaluating and Improving the Transport Efficiency of Logistics Operations
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The thesis focuses on evaluating and improving the transport efficiency of two types of logistics operations in the supply chain.

One research area is the production of raw material in construction operations, specifically earthmoving operations. Methods and tools are developed to provide decision support in improving the transport efficiency of earthmoving at the vehicle and the systems levels. Using known road topography and a GPS unit, an optimal control problem is formulated and solved (Paper III) to determine the optimal gear shift sequence and timing in order to improve the transport efficiency at the vehicle level. For decision support at the systems level, a Fleet Performance Simulation (FPS) model is designed (Paper IV) to evaluate the transport efficiency for a given mix of construction vehicles in earthmoving. The FPS system is integrated with an optimization algorithm to solve the optimal fleet composition problem for earthmoving operations (Paper V & VI). Construction operations are dynamic and the environment is changing constantly, which bring difficulties in decision-making. Using GPS data from construction vehicles, a map inference framework (Papers I & II) is developed to automatically extract relevant input to decision support at the vehicle and the systems levels, which include the locations of various workstations, driving time distributions and road networks.

The second research area is the transport efficiency of urban distribution system, which is in the final phase of the supply chain. An off-peak delivery pilot project in Stockholm is used as the background, designed to evaluate the potential for commercial vehicles to make use of off-peak hours for goods delivery. The thesis (Paper VII) evaluates the transport efficiency impacts of the off-peak pilot. An evaluation framework is defined where transport efficiency is studied in a number of dimensions. GPS data, fleet management data, and logistic information are used to assess the impacts.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. p. 47
Series
TRITA-TSC-PHD ; 17-002
Keywords
transport efficiency, earthmoving operations, off-peak urban deliveries, simulation, optimization, GPS data
National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-204030 (URN)978-91-87353-99-4 (ISBN)
Public defence
2017-04-28, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (English)
Opponent
Supervisors
Funder
Integrated Transport Research Lab (ITRL)
Note

QC 20170323

Available from: 2017-03-23 Created: 2017-03-22 Last updated: 2018-05-14Bibliographically approved

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Fu, JialiJenelius, Erik

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