Modelling of cross-country transport in raster format

Abstract

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Physical-geographic factors of terrain trafficability of military vehicles according to Western World methodologies

“…The same approach in which terrain trafficability studies were carried out entirely with remote sensing data was presented by Bacon et al (2008), Kruse et al (2000), and Sadiya et al (2017). Campbell (2012), Dawkins (2011), Gustafsson and Hägerstrand (2005), Kirkland (1981), Kristalova (2015), Mohamad Rabab (2002), Mohtashami et al (2012) and Rybansky et al (2015) used high resolution satellite images and Light Detection and Ranging (LIDAR) recordings in order to implement high accuracy and precision data in their research, which gave DMR and vegetation cover data greater accuracy (Andersen et al, 2003). It should be emphasised that remote sensing data analysis cannot achieve complete detail and reliability in terms of data (Leighty, 1965;Kruse et al, 2000;Wawer et al, 2003), and vegetation and soil data cannot be collected without direct verification in the field (Laskey et al, 2010).…”

“…Nakon izrađenoga modela i provedenih računalnih kalkulacija neki su autori proveli i empirijska istraživanja točnosti modela na samom terenu u stvarnim situacijama (Hohmann i dr., 2013), a to je ujedno i al. (1992), Li et al (2007), Murphy and Randolph (1994), Rybansky et al (2015) and Talhofer et al (2015) have all tested their models on the ground using GPS receivers. The authors have used results implemented using the NRMM model as the most frequent and most commonly applied parameters in calculations within their models.…”

“…) ic wetness index, and in combination with exposure angle effects on climatic elements. Microrelief surface forms and shapes define the degree of vehicle mobility and terrain trafficability with their deviations (Weiss, 1981;Mintzer and Messmore, 1984;Terrain Analysis, 1990;Shoop, 1993;Murphy and Randolph, 1994;Baylot et al, 2005;Pahernik et al, 2006;Durst et al, 2010;Rybansky et al, 2015). Microrelief forms and phenomena that affect surface roughness include canals, embankments, gullies, ravines, surface rocks, surface stones, and landslides.…”

Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment

“…Emergency relief in large-scale earthquake disasters is a complicated system involving many components. The dynamic constraints affecting EMVDR lie in the emergency materials and transportation network [21,22]. Firstly, the emergency material supplies come from the government supply repositories, purchase, donation, production, and so on.…”

Developing dynamic virtual geographic environments (VGEs) for geographic research

“…Agent-based models are normally utilized as effective methods of simulating human behavior in certain environment such as in emergencies (e.g., Vanclooster et al 2014). Focusing on movement, in this issue, Rybansky et al (2015) found that modeling the movement of vehicles in open terrain is more difficult because many factors affect vehicle deceleration, including terrain surface configuration, surface roughness, and materials, as well as obstacles in the route. To deliver a proper solution, he designed a method for calculating vehicle deceleration that synthesized corresponding raster cells in an elementary terrain area with influences from geographic factors.…”