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Titlebook: Computational Methods and Models for Transport; New Challenges for t Pedro Diez,Pekka Neittaanmäki,Olli Bräysy Conference proceedings 2018

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Investigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulations tunnel measurements. We confirm that a major vortex system on the leeward side of the train develops, which mainly drives the overturning force and moment of the train. The lift force is determined mainly by the underbody flow, which is characterized by unsteady vortex shedding. Due to its dual abi
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,Stöchiometrische Grundbergriffe,ecting different entities in systems, equipped with sensors and actuators by means of internet technology. It has various applications in a wide range of industries from healthcare and agriculture to automotive, manufacturing and supply chain. Looking at the huge amount of money, invested by all big
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,Stöchiometrische Grundbergriffe,rst of transportation. However, the transportation enterprise in the Houston area is massive. Houston is one of the few places in the world where the various modes of transportation: rail, highway, maritime, inland waterway, pipeline and air converge. Approximately 90% of the volume and 70% of the v
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,Stöchiometrische Grundbergriffe,ntrol over them is a “mission-impossible”, however, still in our common agenda. People intend to make their living spaces smarter utilizing innovations from the Internet of Things and Artificial Intelligence. Unmanned aerial vehicles (UAVs) as very dynamic, autonomous and intelligent things capable
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,Stöchiometrische Grundbergriffe,dea of the new metaheuristic is to perform a random number of random-sized jumps in random order through four well-known local search operators. Computational testing on the 600 large-scale benchmarks of Bräysy et al. (Expert Syst Appl 36(4):8460–8475, .) show that the new metaheuristic outperforms
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,Stöchiometrische Grundbergriffe, paper. This paper investigates the problem of determining the allocation of available green route capacity. The approach for designing a green transit network that offers green vehicles shorter travel times between given origins and destinations is discussed. This approach is extended to minimize g
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,Stöchiometrische Grundbergriffe,ency of these methods is slow local search based hill climbing that often is restricted to limited local neighborhood. In this paper we suggest a novel new two-phase metaheuristic that escapes the local minima with jumps of varying size, instead of step by step local hill climbing. The initial solut
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,Stöchiometrische Grundbergriffe,of these systems can be prohibitively costly, especially for small and medium-sized enterprises: the customization, integration, and migration is laborious and requires operations research expetise. We propose an automated configuration workflow for vehicle routing system and data flow customization
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