Abstract
Flows are central to the study of transport & logistics and telecommunication. The efficient flow of materials, money and information are vital to the success of any transport & logistics system such as a supply chain. Telecommunication relies on accurate data flows to ensure seamless communications. While both these sectors use the term “mobility” to emphasize their field of study, the literature suggests that the level of cross-fertilization is quite limited. This manuscript investigates pixel oriented mobility modelling, which has its roots in telecommunications, as a viable method to study flows in transport & logistics. Breaking down paths and its characteristics into pixels and applying the characteristics of the unit of study allows users to properly model and optimize the system. The manuscript suggests numerous applications of pixel oriented mobility in transport & logistics and encourages its use as an innovative method to expand the body of knowledge. Examples to apply pixel oriented mobility modelling in transport & logistics would include vehicular traffic, port and shipping operations, warehouse operations, freight movements and the aviation sector.
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Acknowledgements
The authors wish to thank Dr. Amila Thibbotuwawa, Mr. Oshadhi Herath, and Mr. Praveen Perera of the University of Moratuwa, Sri Lanka. for their support towards this manuscript. This research was supported by grant ID SRC/LT/2020/20 of the Senate Research Committee, University of Moratuwa, Sri Lanka.
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Perera, H.N., Perera, H.Y.R. (2022). Applications of Pixel Oriented Mobility Modelling in Transport & Logistics. In: Freitag, M., Kinra, A., Kotzab, H., Megow, N. (eds) Dynamics in Logistics. LDIC 2022. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-031-05359-7_27
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