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References 1. DANEK, Maroš. 2014. Modelling the traffic system in Hlohovec. (Master Thesis). Supervisor: doc. Ing. Pavel Važan, PhD. Trnava: MTF STU, 80 pp. 2. GOOGLE MAPS. 2014. [Hlohovec]. [Street map]. Retrieved from: https://www.google.sk/maps/preview?q=hlohovec&ie=UTF-8&ei=Df5cU-7KKoaQOKPQgOgO&sqi=2&ved=0CAYQ_AUoAQ .

and controlled traffic systems on soil physical properties, yields and the profitability of cereal crops on a range of soil types. PhD thesis. Cranfield University, Cranfield, Bedfordshire, UK. CHYBA, J. 2012. The influence of traffic intensity and soil texture on soil water infiltration rate. MSc Thesis. Harper Adams University College, Newport, Shropshire, UK. GALAMBOŠOVÁ, J. – RATAJ, V. – MACÁK, M. – ŽITŇÁK, M. – NOZDROVICKÝ, L. 2010. Controlled traffic farming and minimum tillage: results of initial experiments and layout of a longterm experiment. In XVII th

Abstract

Vessel traffic systems provide a high level of safety on coastal waters due to coastal radar stations and industrial cameras transmitting information to traffic supervision centers, as well. To improve a vessel traffic services is very important to ensure the speed and secrecy for the transmission of video images.

The paper presents the basic issues of the multimedia data protection by digital watermarking and fingerprinting methods. Main applications for such digital marking were described in the paper as well as its requirements. Furthermore, the importance of multicast transmission for fingerprinting methods was presented by comparing the scalability of methods using only unicast transmissions and methods using multicast transmissions. The paper also presents the greatest threat to fingerprinting methods, which are attacks performed by more than one pirate. These attacks are called collusion attacks. The criteria that should be followed during identifying rogue users taking part in the collusion attack on the security systems has been presented.

The paper also contains description of the extended Hillcast method, which belongs to the group of JFD (Joint Fingerprinting and Decryption) methods. The method provides a cryptographic security and digital fingerprinting of multimedia content, while maintaining high scalability. Main purpose of this method is VoD (Video on Demand) service, but it can also be used in vessel traffic supervision systems, such as VTS and AIS. In the last part of paper, there are results of studies which indicate high resistance to most common collusion attacks. Method proposed by authors can enhance the security of visual data transmission in vessel traffic systems.

ABSTRACT

In the last years considerable emphasis has been placed on safety at sea. There is the maritime security and surveillance system whose main aim is to execute tasks in the interests of maritime safety and to react in case of emergency. They are monitored by networks of radar stations. On such areas we obtain a lot of navigation data which could be used to improve ship’s parameters (position), using know in geodesy modern M-estimation methods. Simultaneous acquisition of navigational information from many independent radar stations will render it possible to obtain a more accurate ship position in marine traffic surveillance systems in relation to the calculated position. A position expected in an adjustment calculus is received from a watch officer. It is burdened with a fallacy of navigation systems and the quality of marking ship’s route on a map. In the case of navigational-parameter measurements used for depicting ship position, one can obtain incorrect results due to a disturbance in the measurement process. In extreme cases, such erroneous data could significantly differ from the anticipated results. Deviating observations could significantly influence the values of measurement results. In order to eliminate the determination of erroneous measurements, one could use resistant estimation methods with suitably selected attenuation functions. The accuracy of a determined position will not be better than the capabilities of the device used. Adjustment gives the possibility of eliminating or minimizing human errors as well as the errors in the indications of navigational devices. This paper presents the latest robust estimation methods using Danish attenuation function for adjustment of navigational observation, using radar observation.

References 1. Sun, X., L. Munoz, R. Hrowitz. Mixture Kalman Filter Based Highway Congestion Mode and Vehicle Density Estimator and its Application. - In: Proc. of American Control Conference, 2004, pp. 2098-2103. 2. Kohan, R. R. Robust State Estimation and Control of Highway Traffic Systems. Toronto, Electrical and Computer Engineering, University of Toronto, 2001. 3. Majid, H., H. Abouaissa, D. Jolly, G. Morvan. State Reconstructor for Real-Time Freeway Ramp Metering. - In: ICNSC, 2013, pp. 306-311. 4. Canudas de Wit, C., J. J. E. Slotine. Sliding Observers in

International Conference on , 2014. IEEE. 11. Hulea, M., Moiş, G.D. and Folea, S. (2011) Dynamic Wi-Fi Reconfigurable FPGA Based Platform for Intelligent Traffic Systems. Labview–Practical Applications and Solutions. InTech , 377-396. 12. Hussain, M.R., Zainal, A., Elmedany, W.M. and Fakhr, M.W. (2013) Telematics Business and Management in Bahrain Market. Transport and Telecommunication, 14(1), p. 13-19. 13. Karloff, A.C. and Abdel-Raheem, E. (2013) Performance Analysis of a Flexible, Optimized and Fully Configurable FPGA Architecture for Two-Channel Filter Banks. Int. J

´arlaki, P. (2010). Approximation of force and energy in vehicle crash using LPV type description, WSEAS Transactions on Systems 9 (7): 734-743. Improta, G. and Cantarella, G. (1984). Control systems design for an individual signalised junction, Transportation Research B 18 (2): 147-167. Kachroo, P. and Ozbay, K. (1999). Feedback Control Theory for Dynamic Traffic Assignment , Springer, London. Kashani, H. and Saridis, G. (1983). Intelligent control for urban traffic systems, Automatica 19 (2): 191-197. Krozel, J. Jakobovits, R. and Penny, S. (2006). An algorithmic

Abstract

This study investigates the possibilities of various development areas (transport, energy, building) to make the cost-efficient realisation of high-profile investments, and organising and holding international sports events possible. Using a case study, the paper introduces development routes based on the evaluation of environmental and economic perspectives. The current research introduces the investment characteristics based on the development of the Hungarian building, energy and transport sectors for the 2017-2030 period. The main criterion is the integration of ‘circular economy’. For sectors which operate with high material and energy consumption, the consideration of circular economy principles may prove to be important for sustainable development. Through planning highvolume sports and worldwide events, the usual development strategy for traffic systems focuses on public transport and rentable vehicles (f. e. electric scooter, or bicycle) which can decrease CO2 emissions via modern technological solutions. Regarding the buildings, sports arenas and related facilities, besides the existing low-carbon solutions, the functions of buildings must be expanded and their usage prolonged. The management of waste left after the life cycle is expended has to be pre-planned. These are the options for making the sector’s GHG emissions decrease apart from circular tenders, which can be further combined with SMART energetic solutions.

Abstract

In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for human life and health, it is necessary to actively research and develop methods to combat these trends. One of the measures is the implementation of advanced information systems in existing traffic environment. Accidents clusters, as databases of traffic accidents, introduce a new dimension in traffic systems in the form of experience, providing information on current accidents and the ones that have previously occurred in a given period. This paper proposes a new approach to predictive management of traffic processes, based on the collection of data in real time and is based on accidents clusters. The modern traffic information services collects road traffic status data from a wide variety of traffic sensing systems using modern ICT technologies, creating the most accurate road traffic situation awareness achieved so far. Road traffic situation awareness enhanced by accident clusters' data can be visualized and distributed in various ways (including the forms of dynamic heat maps) and on various information platforms, suiting the requirements of the end-users. Accent is placed on their significant features that are based on additional knowledge about existing traffic processes and distribution of important traffic information in order to prevent and reduce traffic accidents.

Abstract

Development of IoT is tightly coupled with the use of the wireless communication solutions. Nowadays there are several standard wireless protocols, which are responsible for carrying information. The increase of the communication traffic tends to specialize the kind of used data interchange methods for the sake of demanded size of data packet, frequency of connections, meaning of the data, security and safety of the transmission as well as many others. One of the intensively spreading wireless networks is LoRaWAN. Because of its low energy consumption, long distance range, and high flexibility, it seems to be very effective solution to apply in the field of road traffic. The article presented the base features of LoRaWAN as well as the conception of virtual local traffic system based on the data yield from the board systems of cars. Accessed from OBD information about f. e.g. temporary cars speed or accelerations associated with their current position can be significant factor in creating the real image of the traffic situation.