The research goal is the development and investigation of the recommendations and practically applicable methods for an evaluation of the public transport passengers' thermal comfort and for an automatic application of this evaluation in adjusting the parameters of the passenger compartment's environment. In the research, for improving thermal comfort of the public electric transport's passengers, the methodology determining passenger's satisfaction with thermal comfort using the fuzzy logic controller, and the method of an automatic adjustment of thermal parameters' setpoint, carried out in passenger compartments and based on an evaluation of passenger satisfaction, are designed.

In this paper the advanced monitoring system of multiple environmental parameters is presented. The purpose of the system is a long-term estimation of energy efficiency and sustainability for the research test stands which are made of different building materials. Construction of test stands, and placement of main sensors are presented in the first chapter. The structure of data acquisition system includes a real-time interface with sensors and a data logger that allows to acquire and log data from all sensors with fixed rate. The data logging system provides a remote access to the processing of the acquired data and carries out periodical saving at a remote FTP server using an Internet connection. The system architecture and the usage of sensors are explained in the second chapter. In the third chapter implementation of the system, different interfaces of sensors and energy measuring devices are discussed and several examples of data logger program are presented. Each data logger is reading data from analog and digital channels. Measurements can be displayed directly on a screen using WEB access or using data from FTP server. Measurements and acquired data graphical results are presented in the fourth chapter in the selected diagrams. The benefits of the developed system are presented in the conclusion.

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Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID TasksThe main idea of this paper is to use methods of ANN (artificial neural network) and RFID (radio frequency identification) to create an algorithm and coordination mechanism for climate parameters control in the railway passengers' coach to save an electrical energy and keep a high comfort level in the passengers' interior of railway coach. The article presents mathematical problem using intelligent control of HVAC (heating, ventilation and air conditioning) systems for microclimate parameters optimal control. The methods of the problem solving and the structure of problem solving algorithm are given in the article.