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Unmanned aerial veh...
Unmanned aerial vehicle scheduling problem for traffic monitoring
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- Li, Miao (author)
- Shanghai University
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- Zhen, Lu (author)
- Shanghai University
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- Wang, Shuaian (author)
- Hong Kong Polytechnic University
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- Lv, Wenya (author)
- Shanghai University
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- Qu, Xiaobo, 1983 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- Elsevier BV, 2018
- 2018
- English.
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In: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 122, s. 15-23
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https://doi.org/10.1...
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Abstract
Subject headings
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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.
Subject headings
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Traffic monitoring
- UAV routing problem
- Inventory routing problem
- Arc routing problem
Publication and Content Type
- art (subject category)
- ref (subject category)
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