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Gear shift optimization for off-road construction vehicles
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
2014 (English)In: European Journal of Transport and Infrastructure Research, ISSN 1567-7133, Vol. 14, no 3, 214-228 p.Article in journal (Refereed) Published
Abstract [en]

This paper explores the possibility of using recorded road slope data in order to reduce fuel consumption for off-road construction vehicles such as articulated haulers. Road gradients have strong influence on the fuel consumption of a vehicle. This effect is even more significant on construction vehicles due to their large mass and heavy load. In this study, a control algorithm based on model predictive control and dynamic programming is formulated and solved to find an optimal gear shift sequence and time of shifting. The fuel consumption model of an articulated hauler is formulated with a dynamic model and used together with the travel time in the objective function to balance the trade-off between these two aspects. The proposed control algorithm is simulated on a typical road stretch on the construction work site with frequent steep up- and downhill. Simulation shows that both fuel consumption and travel time can be reduced simultaneously. In addition, the optimal gear shift sequence resembles the behaviour of an experienced driver.

Place, publisher, year, edition, pages
2014. Vol. 14, no 3, 214-228 p.
Keyword [en]
Discrete dynamic programming, fuel efficiency/consumption, gear shift optimization, model predictive control, off-road construction vehicle
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-158297ISI: 000345856000003Scopus ID: 2-s2.0-84906955941OAI: oai:DiVA.org:kth-158297DiVA: diva2:777819
Note

QC 20150109

Available from: 2015-01-09 Created: 2015-01-07 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. 47 p.
Series
TRITA-TSC-PHD, 17-002
Keyword
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
Note

QC 20170323

Available from: 2017-03-23 Created: 2017-03-22 Last updated: 2017-03-27Bibliographically approved

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Citation style
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