SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:mau-41055"
 

Search: onr:"swepub:oai:DiVA.org:mau-41055" > Optimal bicycle tri...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Optimal bicycle trip impediments resolution by data fusion

Knapen, Luk (author)
Hasselt University, Belgium.; VU Amsterdam, Netherlands.
Holmgren, Johan (author)
Malmö universitet,Internet of Things and People (IOTAP),Institutionen för datavetenskap och medieteknik (DVMT)
Hasselt University, Belgium; VU Amsterdam, Netherlands. Internet of Things and People (IOTAP) (creator_code:org_t)
2021-01-30
2021
English.
In: Journal of Ambient Intelligence and Humanized Computing. - : Springer. - 1868-5137 .- 1868-5145. ; 12, s. 103-120
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • We propose a method, whose purpose is to combine a set of GPS traces collected by bicyclists with a set of notifications of problematic situations to determine an optimal action plan for solving safety related problems in a traffic network. In particular, we use optimization to determine which problem locations to resolve under a given budget constraint in order to maximize the number of impediment free trips. The method aims to suggest a priority of impediments to resolve, which would be manually infeasible. The proposed method consists of two steps. First, problematic locations are clustered, where each cluster corresponds to a so-called impediment. Each impediment is associated with trips nearby using a distance function. The trip set is partitioned by matching each trip with the largest set of its affecting impediments. Solving all impediments associated with such a part induces a cost and makes the associated part of trips impediment free. The second step aims to find the set of impediments that can be solved with a given budget and that makes the maximum number of trips impediment free. A branch-and-bound optimizer for the second step is presented and evaluated. The clustering parameters affect the set of identified impediments and the extent of each of them. In order to evaluate the sensitivity of the result to the clustering parameters a technique is proposed to consistently estimate the impediment resolution cost. Our study aims to support the interactive urban designer to improve the urban bicycle road infrastructure. By providing a method to prioritize between impediments to resolve, it also aims to contribute to a safer and more attractive traffic situation for bicyclists.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Keyword

Bicyclist
GPS traces
Impediment notification
Clustering
Branch-and-bound
Data fusion

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Knapen, Luk
Holmgren, Johan
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
and Transport System ...
Articles in the publication
Journal of Ambie ...
By the university
Malmö University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view