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Driving time and path generation for heavy construction sites from GPS traces
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)In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, 2016, p. 1141-1146Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a methodology for using GPS probe data to automatically extract the driving time between workstations and build a detailed representation of the paths between workstations in a construction environment. The inferred driving time distribution is aimed as input to construction simulation models to assess fleet performance, while the path information can be utilized to examine the performance of individual vehicles. A case study, using GPS data collected from a construction site, is used to demonstrate the capability of the proposed approach. The GPS data are processed without any prior knowledge about the underlying work environment. The results show that the proposed approach is capable of accurately inferring the driving time distribution and the paths between workstations.

Place, publisher, year, edition, pages
IEEE, 2016. p. 1141-1146
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-200584DOI: 10.1109/ITSC.2016.7795700ISI: 000392215500179Scopus ID: 2-s2.0-85010061504ISBN: 9781509018895 (print)OAI: oai:DiVA.org:kth-200584DiVA, id: diva2:1069624
Conference
19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016; Windsor Oceanico HotelRio de Janeiro; Brazil; 1 November 2016 - 4 November 2016
Note

QC 20170130

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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