Abstract
Sulphur oxide (SOx) emissions impose a serious health threat to the residents and a substantial cost to the local environment. In many countries and regions, ocean-going vessels are mandated to use low-sulphur fuel when docking at emission control areas. Recently, drones have been identified as an efficient way to detect non-compliance of ships, as they offer the advantage of covering a wide range of surveillance areas. To date, the managerial perspective of the deployment of a fleet of drones to inspect air pollution from ships has not been addressed yet. In this paper, we propose a modelling framework of drone deployment. It contains three components: drone scheduling at the operational level, drone assignment at the tactical level and drone base station location at the strategic level.
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References
Fung, F.: Enforcement of fuel switching regulations – practices adopted in the US, EU and other regions, and lessons learned for China (2016). http://www.nrdc.cn/information/informationinfo?id=168. Accessed April 2017
Ning, Z.: “Drone” technology update in port and ship emission monitoring and management (2016). https://www.polyu.edu.hk/cee/MOVE-2016/4b-12-NING.pdf. Accessed April 2017
Collum, J.: Meeting the SECA Challenge (2015). http://www.maritime-executive.com/magazine/meeting-the-seca-challenge. Accessed April 2017
Roberts, L.: Drone detection of marine fuel sulphur emissions (2016). http://www.clydeco.com/insight/article/drone-detection-of-marine-fuel-sulphur-emissions. Accessed April 2017
Marine Electronics and Communication. Drones lead the way in emissions compliance (2015). http://www.marinemec.com/news. Accessed April 2017
Kuang, Y., Qu, X., Wang, S.: A tree-structured crash surrogate measure for freeways. Accid. Anal. Prev. 77, 137–148 (2015)
Qu, X., Wang, S., Zhang, J.: On the fundamental diagram for freeway traffic: a novel calibration approach for single-regime models. Transp. Res. Part B: Methodological 73, 91–102 (2015)
Qu, X., Zhang, J., Wang, S.: On the stochastic fundamental diagram for freeway traffic: model development, analytical properties, validation, and extensive applications. Transp. Res. Part B: Methodological 104, 256–271 (2017)
Liu, Z., Wang, S., Chen, W., Zheng, Y.: Willingness to board: a novel concept for modeling queuing up passengers. Transp. Res. Part B 90, 70–82 (2016)
Liu, Z., Yi, W., Wang, S., Chen, J.: On the uniqueness of user equilibrium flow with speed limit. Netw. Spat. Econ. 17(3), 763–775 (2017a). https://doi.org/10.1007/s11067-017-9343-4
Liu, Z., Wang, S., Zhou, B., Cheng, Q.: Robust optimization of distance-based tolls in a network considering stochastic day to day dynamics. Transp. Res. Part C 79, 58–72 (2017b)
Huang, D., Liu, Z., Liu, P., Chen, J.: Optimal transit fare and service frequency of a nonlinear origin destination based fare structure. Transp. Res. Part E 96, 1–19 (2016)
Zhen, L., Wang, S., Zhuge, D.: Analysis of three container routing strategies. Int. J. Prod. Econ. 193, 259–271 (2017a)
Zhen, L., Liang, Z., Zhuge, D., Lee, L.H., Chew, E.P.: Daily berth planning in a tidal port with channel flow control. Transp. Res. Part B: Methodological 106, 193–217 (2017b)
Zhen, L., Wang, K., Wang, S., Qu, X.: Tug scheduling for hinterland barge transport: a branch-and-price approach. Eur. J. Oper. Res. 265(1), 119–132 (2018)
Marine Traffic. https://www.marinetraffic.com/. Accessed April 2017
Cordeau, J.F., Desaulniers, G., Desrosiers, J., Solomon, M.M., Soumis, F.: The VRP with Time Windows. Montréal: Groupe d’études et de recherche en analyse des décisions (2000)
Desrochers, M., Desrosiers, J., Solomon, M.: A new optimization algorithm for the vehicle routing problem with time windows. Oper. Res. 40(2), 342–354 (1992)
Ho, S.C., Haugland, D.: A tabu search heuristic for the vehicle routing problem with time windows and split deliveries. Comput. Oper. Res. 31(12), 1947–1964 (2004)
Bräysy, O., Gendreau, M.: Vehicle routing problem with time windows, Part I: route construction and local search algorithms. Transp. Sci. 39(1), 104–118 (2005)
Kallehauge, B.: Formulations and exact algorithms for the vehicle routing problem with time windows. Comput. Oper. Res. 35(7), 2307–2330 (2008)
Wang, S., Liu, Z., Meng, Q.: Systematic network design for liner shipping services. Trans. Res. Rec. J. Transp. Res. Board 2330, 16-23. (2013a)
Liu, Z., Meng, Q., Wang, S., Sun, Z.: Global intermodal liner shipping network design. Transp. Res. Part E: Logistics Transp. Rev. 61, 28–39 (2014)
Zhen, L., Wang, S., Wang, K.: Terminal allocation problem in a transshipment hub considering bunker consumption. Naval Res. Logistics 63(7), 529–548 (2016a)
Wang, S., Wang, X.: A polynomial-time algorithm for sailing speed optimization with containership resource sharing. Transp. Res. Part B Methodological 93, 394–405 (2016)
Zhen, L., Wang, S., Zhuge, D.: Dynamic programming for optimal ship refueling decision. Transp. Res. Part E: Logistics Transp. Rev. 100, 63–74 (2017c)
Zhen, L., Zhuge, D., Zhu, S.L.: Production stage allocation problem in large corporations. Omega 73, 60–78 (2016b)
Acknowledgment
This research is sponsored by Environment and Conservation Fund Project 92/2017 and the Youth Program (No. 71501038), General Project (No. 71771050), Key Projects (No. 51638004) of the National Natural Science Foundation of China, and the Natural Science Foundation of Jiangsu Province in China (BK20150603). The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any agency of government.
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Chen, J., Wang, S., Qu, X., Yi, W. (2019). A Modelling Framework of Drone Deployment for Monitoring Air Pollution from Ships. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_29
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DOI: https://doi.org/10.1007/978-3-319-92231-7_29
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