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  • Li, MiaoShanghai University (author)

Unmanned aerial vehicle scheduling problem for traffic monitoring

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • Elsevier BV,2018

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  • LIBRIS-ID:oai:research.chalmers.se:d29ede09-2d73-4714-8308-5c032f84aa70
  • https://doi.org/10.1016/j.cie.2018.05.039DOI
  • https://research.chalmers.se/publication/503401URI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

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  • For more accurate multiple-period real-time monitoring of road traffic, this paper investigates the unmanned aerial vehicle scheduling problem with uncertain demands. A mixed integer programming model is designed for this problem by combining the capacitated arc routing problem with the inventory routing problem. A local branching based solution method is developed to solve the model. A case study which applies this model to the road traffic in Shanghai is performed. In addition, numerical experiments are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution method.

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  • Zhen, LuShanghai University (author)
  • Wang, ShuaianHong Kong Polytechnic University (author)
  • Lv, WenyaShanghai University (author)
  • Qu, Xiaobo,1983Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)xiaobo (author)
  • Shanghai UniversityHong Kong Polytechnic University (creator_code:org_t)

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  • In:Computers and Industrial Engineering: Elsevier BV122, s. 15-230360-8352

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By the author/editor
Li, Miao
Zhen, Lu
Wang, Shuaian
Lv, Wenya
Qu, Xiaobo, 1983
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NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
and Computational Ma ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
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and Transport System ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
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By the university
Chalmers University of Technology

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