14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Two-Echelon Cooperated Routing Problem for a Ground Vehicle and Its Carried Unmanned Aerial Vehicle

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this paper, a two-echelon cooperated routing problem for the ground vehicle (GV) and its carried unmanned aerial vehicle (UAV) is investigated, where the GV travels on the road network and its UAV travels in areas beyond the road to visit a number of targets unreached by the GV. In contrast to the classical two-echelon routing problem, the UAV has to launch and land on the GV frequently to change or charge its battery while the GV is moving on the road network. A new 0–1 integer programming model is developed to formulate the problem, where the constraints on the spatial and temporal cooperation of GV and UAV routes are included. Two heuristics are proposed to solve the model: the first heuristic (H1) constructs a complete tour for all targets and splits it by GV routes, while the second heuristic (H2) constructs the GV tour and assigns UAV flights to it. Random instances with six different sizes (25–200 targets, 12–80 rendezvous nodes) are used to test the algorithms. Computational results show that H1 performs slightly better than H2, while H2 uses less time and is more stable.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: not found
          • Article: not found

          Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A genetic algorithm for the vehicle routing problem

                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                17 May 2017
                May 2017
                : 17
                : 5
                : 1144
                Affiliations
                Science and Technology on Information System Engineering Laboratory, National University of Defense Technology, Changsha 410073, China; liuzhong@ 123456nudt.edu.cn (Z.L.); jianmaishi@ 123456nudt.edu.cn (J.S.)
                Author notes
                [* ]Correspondence: luozhihao15@ 123456nudt.edu.cn ; Tel.: +86-151-1106-6043
                Article
                sensors-17-01144
                10.3390/s17051144
                5470820
                28513552
                1ce83ed6-115f-4b52-ac9b-423a1c9b763e
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 January 2017
                : 09 May 2017
                Categories
                Article

                Biomedical engineering
                vehicle routing,two-echelon routing,vehicle-carried uavs,unmanned aerial vehicle routing

                Comments

                Comment on this article