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Platoon coordination with time windows: An operational perspective
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0001-5290-6101
2017 (English)In: 20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary, Elsevier, 2017, Vol. 27, p. 357-364Conference paper, Published paper (Refereed)
Description
Abstract [en]

It has been reported that platooning has the potential of saving fuel and increasing traffic throughput. We formulate a platoon coordination problem with soft time windows as a mixed-integer linear programming problem and solve it with exact solutions. The objective function consists of operation costs, schedule miss penalties and fuel costs. In the numerical example, a Swedish highway network model is used and the computation result shows that, for 21 vehicles, the total cost can be reduced by 3.5% when the optimal preferred arrival times are chosen. A random disturbance is then added to the optimal time windows and the optimal result shows great sensitivity with respect to the disturbance. When the mean of the disturbance becomes larger than 10 minutes, more than half of the platooning benefits will be lost. The study also analyzes the change of different cost compositions as disturbance increases.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 27, p. 357-364
Series
Transportation Research Procedia, ISSN 2352-1457 ; 27
Keywords [en]
freight transportation, Heavy-duty vehicle platooning, operational cost, time window
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-222070DOI: 10.1016/j.trpro.2017.12.129Scopus ID: 2-s2.0-85039950890OAI: oai:DiVA.org:kth-222070DiVA, id: diva2:1179098
Conference
20th EURO Working Group on Transportation Meeting, EWGT 2017, 4-6 September 2017, Budapest, Hungary
Note

QC 20180131

Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2019-05-17Bibliographically approved
In thesis
1. Planning and evaluation of autonomous vehicles in freight and public transport services
Open this publication in new window or tab >>Planning and evaluation of autonomous vehicles in freight and public transport services
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The introduction of automation technology in transport systems brings both opportunities and challenges. The direct benefits of automation technology are obvious, for instance, reduced marginal driving cost, improved energy efficiency and increased safety. However, factors such as additional vehicle acquisition cost might hinder the implementation of autonomous vehicles, especially in the early stages when mass production is not realized yet. Besides, some benefits require large-scale applications or cooperation among multiple vehicles, while the low market penetration rate of autonomous vehicles may make system-specific benefits insignificant. Without proper planning and operation schemes, the advantages of automation technology can be cancelled out by its disadvantages. Given that the advantages of individual autonomous vehicles have been extensively explored, it is necessary to estimate the efficiency of transport systems involving autonomous vehicles. This thesis intends to solve the operation problem of autonomous vehicles in freight and public transport systems, focusing on system cost analysis.

In freight transport, semi-autonomous truck platooning is a promising way to reduce fuel consumption. By instructing vehicles to form groups and drive together closely, the trailing vehicles experience reduced air resistance from the leading vehicle, and thus less fuel consumption. However, in practice, freight transport companies should also take time windows and transport reliability into consideration. The study answers the questions whether platoons should be formed and how significant can the savings be, considering driving cost, predefined time windows, travel time uncertainty and fuel cost. System optimization techniques, including stochastic optimization and mixed-integer linear programming, are adopted to minimize the total cost.

In public transport, autonomous buses are assumed to save on-board crew cost, partially or fully. Similar with truck platoons, semi-autonomous buses can also form bus platoons for the purpose of eliminating the drivers from trailing buses. By contrast, fully autonomous buses are completely driverless and operates individually like conventional buses. To investigate the efficiency of autonomous buses, we compare the total cost of autonomous buses with conventional buses, where both passengers’ cost and service provider’s cost are modelled. In a general trunk-and-branches network connecting city center and suburbs, both fully autonomous bus and semi-autonomous bus systems are assessed. On a simple highly demanded corridor where demand varies during peak and off-peak hours, semi-autonomous bus platoons can be used as trains by extending its capacity in peak hours. Application of semi-autonomous vehicles are considered in traditional bus transit and BRT, by comparing with its conventional opponents.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2019. p. iii-xiv, 35
Series
TRITA-ABE-DLT ; 1921
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-251681 (URN)978-91-7873-237-1 (ISBN)
Public defence
2019-06-12, Kollegiesalen, Brinellvägen 8, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20190520

Available from: 2019-05-20 Created: 2019-05-17 Last updated: 2019-05-24Bibliographically approved

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Zhang, WeiSundberg, MarcusKarlström, Anders

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  • apa
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