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Investigating the effectiveness of fuzzy logic within traffic management: A study of traffic control algorithms with applied fuzzy logic on an intersection in the south of Stockholm city
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Undersökning av effektiviteten hos oskarp logikinom trafikstyrning : En undersökning av trafikkontrollsalgoritmer med applicerad oskarp logik på enkorsning i den södra delen av Stockholm (Swedish)
Abstract [en]

The purpose of this report is to make a comparison of how fuzzy logic rules affect the traffic flow in an intersection in the inner city of Stockholm. For the comparison, the report uses a custom written simulation to answer the question and the focus is primarily on measuring the difference in waiting time for the cars in the queues and the difference in the length of the queues. For this we have built our own fuzzy logic rules, specially adapted for the structure of the selected intersection. They were then implemented based on the current precalculated green times for the intersection. The data used for the simulation is collected by the Stockholm stad during November 2015.

Based on the work it can be concluded that the fuzzy logic rules makes the intersection more efficient, especially in terms of the average queue length which during almost the entire simulation is shorter than without the use of fuzzy logic rules. With respect to the average waiting time the result is not quite as clear, but it is possible to justify that it becomes more effective using the fuzzy logic rules. From these two statements one can fairly easily observe that using fuzzy logic can be used to streamline the flow of traffic at the intersection, and also to streamline traffic with respect to delays.

Place, publisher, year, edition, pages
2016. , 45 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-186451OAI: oai:DiVA.org:kth-186451DiVA: diva2:927331
Educational program
Master of Science in Engineering - Computer Science and Technology
Examiners
Available from: 2016-05-18 Created: 2016-05-11 Last updated: 2016-05-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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