Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bus Line Optimisation Using Autonomous Minibuses
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Due to demographic changes, the transportationdemand is predicted to increase significantly in the next decades.Considering the transport sector’s impact on society and theenvironment, the development of a sustainable transport systemis of great importance. Two possible building blocks in such asystem are connectivity and automation, and this project aims tostudy a way of combining these two.The purpose of this project is to investigate how the introductionof autonomous minibuses to a pre-existing bus systemwould affect its operational cost and environmental impact. Thisis done using a linear programming model that finds the optimalcombination of conventional buses and autonomous minibuseswith respect to cost. The model is implemented in the modellingsystem GAMS for bus lines 1–4 in Stockholm using data ontravel demand. Two scenarios are analysed; the first allowingan arbitrary number of minibuses, and the second being morerealistic and restricting the number of minibuses. The solutionsare then compared to the corresponding solutions using onlyconventional buses.In both cases, the results indicate that considerable savingscan be obtained while maintaining or even improving availability.From this, we draw the conclusion that when such technologyis truly available, it would be advisable to investigate if thesesavings can weigh up the costs related to necessary investments.

Place, publisher, year, edition, pages
2017. , p. 7
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-210838OAI: oai:DiVA.org:kth-210838DiVA, id: diva2:1120402
Examiners
Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-07-06Bibliographically approved

Open Access in DiVA

fulltext(477 kB)153 downloads
File information
File name FULLTEXT01.pdfFile size 477 kBChecksum SHA-512
595520764056a982c391e857a3e7e3206e22c2ab0c09c3a4022a35de77513fd18562a208f24c60243ed4e120ddbafc592a396d10aac23af1137de8da9d5ccc08
Type fulltextMimetype application/pdf

By organisation
School of Engineering Sciences (SCI)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 153 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1115 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf