Accurate prediction of traffic information is important in many applications in relation to Intelligent Transport systems (ITS), since it reduces the uncertainty of future traffic states and improves traffic mobility. There is a lot of research done in the field of traffic information predictions such as speed, flow and travel time. The most important research was done in the domain of cooperative intelligent transport system (C-ITS). The goal of this paper is to introduce the novel cooperation behaviour profile prediction through the example of flexible Road Trains useful road cooperation parameter, which contributes to the improvement of traffic mobility in Intelligent Transportation Systems. This paper presents an approach towards the control and cooperation behaviour modelling of vehicles in the flexible Road Train based on hybrid automaton and neuro-fuzzy (ANFIS) prediction of cooperation profile of the flexible Road Train. Hybrid automaton takes into account complex dynamics of each vehicle as well as discrete cooperation approach. The ANFIS is a particular class of the ANN family with attractive estimation and learning potentials. In order to provide statistical analysis, RMSE (root mean square error), coefficient of determination (R2) and Pearson coefficient (r), were utilized. The study results suggest that ANFIS would be an efficient soft computing methodology, which could offer precise predictions of cooperative interactions between vehicles in Road Train, which is useful for prediction mobility in Intelligent Transport systems.

Regular and systematic public transport is of great importance to all residents in any country, in the city and on commuter routes. In our environment, users of public transport can track the movement of vehicles with great difficulty, given that the current system does not meet the necessary criteria, and does not comply with the functioning of transport system. The aim of the final paper is to show the development of such a system using ZigBee and Arduino platforms. This paper shows an example of use the technologies mentioned above, their main advantages and disadvantages, with the emphasis on communication between the device and its smooth progress. In order to show the way in which the system could function, a simple mesh network was created, consisting of coordinator, routers for data distribution and end devices representing the vehicles. To view the results a web application was developed using open-source tool which is for display of the collected data on the movement of nodes in the network.

Roundabout intersections promote a continuous flow of traffic. Roundabouts entry move traffic through an intersection more quickly, and with less congestion on approaching roads. With the introduction of smart vehicles and cooperative decision-making, roundabout management shortens the waiting time and leads to a more efficient traffic without breaking the traffic laws and earning penalties. This paper proposes a novel approach of cooperative behavior strategy in conflict situations between the autonomous vehicles in roundabout using game theory. The game theory presents a strategic decision-making technique between independent agents - players. Each individual player tends to achieve best payoff, by analyzing possible actions of other players and their influence on game outcome. The Prisoner's Dilemma game strategy is selected as approach to autonomous vehicle-to-vehicle (V2V) decision making at roundabout test-bed, because the commonly known traffic laws dictate certain rules of vehicle's behavior at roundabout. It is shown that, by integrating non-zero-sum game theory in autonomous vehicle-to-vehicle (V2V) decision making capabilities, the roundabout entry problem can be solved efficiently with shortened waiting times for individual autonomous vehicles.

myocardial infarction, stent thrombosis, TVR). Results: The DES and BMS groups were well matched except that DES patients received dual antiplatelet therapy for a longer duration and had smaller final vessel diameter. In survival analysis, at a mean follow-up of 1333 ± 659 days after PCI, the DES group had similar incidence of death/myocardial infarction (24 vs 27%, log rank p=0.23) and stent thrombosis (4.0 vs 2.6%, p=0.18) as the BMS group. The DES patients had lower incidence of TVR (8.1 vs 17%, p=0.0018) but similar MACE (26 vs 37%, p=0.31). In multivariable analysis, DES vs BMS implantation showed no significant impact on death/myocardial infarction [adjusted hazards ratio (HR) 1.0, 95% confidence intervals (CI) 0.7-1.4], stent thrombosis (HR 1.7; CI 0.7-4.0), or MACE (HR 0.8; CI 0.6-1.1). However, TVR was lower in the DES group (HR 0.4; CI 0.3-0.7). Conclusion: In patients presenting with NSTEMI, DES implantation appears to be as safe as BMS implantation at long-term follow up.

Introduction: The use of clopidogrel is associated with a large variability in the response to this drug, wherein the results of the numerous studies indicate that even one out of three patients can be placed in the category of non responder. Corresponding section headings: Among the many causes of modified pharmacodynamic effects of clopidogrel, special attention is addressed to the possible clopidogrel-statin interaction. Numerous studies have focused on this problem, but it still seems to be missing the right answer. Conclusion: This paper reviews some of the most important facts regarding concomitant use of clopidogrel and statins, and specific issues to be addressed for safe treatment of patients.