uhász J. 2017. User habit effected multimodal routeplanning. In: 34th International Colloquium on Advanced Manufacturing and Repairing Technologies in Vehicle Industry. Budapest: Budapest University of Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Department of Automotive Technologies, 69-72. K atona G., L énárt B., J uhász J., 2016. Multimodális útvonaltervezés. In: Közlekedéstudományi Konferencia. Győr: Széchenyi István Egyetem, 367-379. K atona G., L énárt B., J uhász J. 2015. Compare Ant-colony and Genetic
Integrating electric vehicles in a supply chain and distribution is a viable option when special conditions such as short distance road distribution and environmental considerations as well as small amounts of goods enabling delivery with delivery vans are met. In this paper, possibility of investment in electric vehicles for distribution of local food will be examined and analysed. Safety concerns in electric vehicles will also be addressed and accident consequences and vehicle safety will be analysed and compared with conventional vehicles that use internal combustion engines.
Nowadays many public and private institutions begin space studies projects. Among many problems to solve there is a planet exploration. Now rovers are controlled directly from the Earth, e.g. Opportunity. Missions must be planned on the Earth using simulators. Much better will be when the mission planner could set the target area and work to do and the rover will perform it independently. The solution is to make it autonomous. Without need of external path planning the rover can cover a much longer distance. To make autonomous rovers real it is necessary to implement a target leaded obstacle avoidance algorithm. Solutions based on graph algorithms use a lot of computing power. The others use intelligent methods such as neural networks or fuzzy logic but their efficiency in a very complex environment is quite low. This work presents an obstacle avoidance algorithm which uses the genetic path finding algorithm. The actual version is based on the 2D map which is built by the robot and the 2nd degree B-spline is used for the path model. The performance in the most cases is high using only one processor thread. The GA can be also easily multithreaded. Another feature of the algorithm is that, due to the GA random nature, the chosen path can differ each time on the same map. The paper shows the results of the simulation tests. The maps have the various complexity levels. On every map one hundred tests were carried out. The algorithm brought the robot to the target successfully in the majority of runs.
, Vol. 17, No. 2, pp. 18-20, 2009. 21. Tian, W. and Zhan, A.,: Research on Path Planning for UCAV based on Improved Ant Colony Algorithm, in Chinese. Fire Control and Command Control , Vol. 33, No. 11, pp. 69-72, 2008. 22. Tsou, M.-C., Kao, S.-L., Su, C.-M.: Decision Support for Genetic Algorithms for Ship Collision Avoidance RoutePlanning . The Journal of Navigation, Vol. 63, pp. 167-182, 2010. 23. Tsou, M.-C.,: Integration of a Geographic Information System and Evolutionary Computation for Automatic Routing in Coastal Navigation . The Journal of Navigation
://www.researchgate.net/publication/257518416 8. Georgieva, P. Genetic Fuzzy System for Financial Management. – Cybernetics and Information Technologies, Vol. 18 , 2018, No 2, pp. 20-35. 9. Yu, X., M. Gen. Introduction to Evolutionary Algorithms. Beijing, 2010, p. 7. 10. Zhao, Y.-x., W. Li. Improved Differential Evolution Algorithm for Maritime Collision Avoidance RoutePlanning. – Abstract and Applied Analysis, Vol. 2014 . 11. With OptiBAND You Can. 12.11.2017. http://www.thruinc.com/optiband/ 12. Binfer Moves Your Data without Ever Storing It on Any Third Party Systems. 12.11.2017. https
At first part of the article methods of SOx (sulphur oxides) emission reduction is presented along with the description of LNG (Liquefied Natural Gas) as a bunker fuel for vessel. Assumptions for the methods of bunkering between different LNG driven vessel and bunker means is presented. Last part presents assumptions for optimization method and detailed factors to be used in the further work. Optimization of Location-Route Planning (LRP) model with dynamics is presented as starting idea for next steps.
There are numerous attempts to estimate hiking time since the age of the ancient Roman Empire, the new digital era calls for more precise and exact solutions to be implemented in mobile applications. The importance of the topic lies in the fact that route planning algorithms and shortest path problems apply time estimations as cost functions. Our intention is to design a hiking time estimation method that accounts for terrain circumstances as well as personal factors, while the level of accuracy and the simplicity of the algorithm should enable the solution to be utilised in the practice. We refine Tobler’s earlier results to estimate a relation between terrain steepness and hiker’s velocity. Later we use fitted curve to design our novel, personalised hiking time estimation method.
The purpose of the supply chain management is to ensure a competitive advantage as well as specific added value for the benefit of all supply chain links. Appropriate management practices generate many benefits, allow for savings in particular segments of the supply chain by means of cost reduction, which in turn directly leads to the competitiveness of enterprises belonging to a specific chain. The above-mentioned issues have become the subject of this thesis. Therefore, the British American Tobacco distribution network is strategically analyzed. A location and number of distribution centers will be i.a. taken into account. Reduction in the number of distribution centers will be suggested in order to reduce logistics costs in the supply chain, i.e. transport and storage. The studies were carried out based on the analysis of flows and route planning of the logistics operator for the transport of the company's products.
The efficient operation of logistic processes requires a wide range of design tasks to ensure efficient, flexible and reliable operation of connected production and service processes. Autonomous electric vehicles support the flexible in-plant supply of cyber-physical manufacturing systems. Within the frame of this article, the extension of the Two-Echelon Vehicle Routing Problem with recharge stations is analyzed. The objective function of the optimization problem is the minimization of operation costs. The extension of 2E-VRP means that the second level vehicles (electric vehicles, must be recharged) come from one recharge station, then pick up the products from the satellite, visit the customers and return to the recharge station from where it started. We solved the route planning problem with the application of construction heuristics and improvement heuristics. The test results indicate that the combination of this approach provides a superior efficiency.
The issue of sustainable tourism within valuable natural areas has been extensively discussed ever since the emergence of sustainable development philosophy in the 1990s. In view of growing public interest in nature recreation and tourism development, the importance of addressing this subject matter has hitherto increased significantly. The main objective of the present paper was to offer a tool for supporting development and promotion of sustainable tourism in Poland’s forests managed by the State Forests - National Forest Holding. GIS technology, and specific tools for network analysis were used in the project. During task realization, only free and open software sources were used. The work was performed based on the example of the Forest District Żołędowo (Regional Directorate of State Forests in Toruń, Poland) with the use of District’s spatial data resources. A web application was created to present information about tourist attractions and infrastructure on an interactive map with tools for route planning. As a result, there has been developed the web mapping application which provides general access to tourism related information and enables planning touristic routes by pre-specified criteria. Implemented routing algorithms can help traffic management and further protection of the areas vulnerable to anthropogenic pressures. The system created not only promotes attractive tourist sites but also, supports targeting tourist traffic, and accordingly - adds to the progress of sustainable tourism