Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl IntroductionOperational quality measures of motor vehicles are used, among the others, to evaluate the performance of transport services. An important group of problems in making such an assessment is selection of the appropriate method. The operational evaluation of an object requires defining the measures (measurements, indicators) and the determining their values. The appropriate value allocation of the vehicles performance measures is one of the key criteria for the proper functioning of the whole transport system [9]. The numerical evaluation of the efficiency of the equipment is based on the values derived from the observation of the equipment during operation [10]. The variety of operational measures depends, of course, on the type of object (process), and usually these measures have different denominations and orders of scale, making them mutually incomparably [6,11].Comparing the measures describing an object (process) is only possible after normalization. Among the groups of technical objects' features relevant for their operational evaluation (determination of their measures and indicators) were distinguished, among the others [8]:technical condition of the object, being a measure of the ability • to use the object over time, reliability in statistical terms, • quality, understood as the ability of an object to meet specific • needs, functionality describing the object in the sphere of human con-• tact, efficiency characterizing the performance of an object, • serviceability characterizing the object's suitability to be serv-ŚWIDERSKI A, JÓŹWIAK A, JACHIMOWSKI R. Operational quality measures of vehicles applied for the transport services evaluation using artificial neural networks.

The article presents an approach to assessing the reliability of logistics processes implemented in supply chains in terms of time losses resulting from the selection of a variant of material flows in the supply chain. In order to define this indicator, a mathematical model of the supply chain has been developed, i.e. the parameters of the research problem, the decision variables, the constraints and the evaluation criteria. The method of evaluating the reliability of the system is presented in diagram form. The algorithm was verified based on experimental data. In order to evaluate the reliability of the logistic processes for the sample supply chain, a simulation model was developed that determines the time losses in the points and linear elements of the examined chain. Time losses are dictated by traffic delays resulting from traffic congestion on particular sections of the route and road junctions and delays in point elements in the supply chain.

Transport is a sector that is said to be negatively affecting the environment. The continuous development of transport increases the negative impact on the environment and civilization. In the article authors present the parameters that were used to describe the size of harmful transport exhaust emissions, in particular by means of road transport and the factors affecting their size. The areas where the level of concentrations of air pollutants are exceeded in Poland were characterized and analysed. Also examples of the stream traffic distribution in the selected area of the transport network were presented.

This paper presents multi-criteria warehouses location problem in the logistics network. In order to solve this problem the location model was developed. The limitations and optimization criteria of the model were determined. Optimization criteria refer to transportation costs, costs associated with warehouses, e.g.: local taxes, expenditure on starting the warehouse, the constant costs, the labour force costs, the purchase costs of the additional land for the expansion, the transition costs of the raw material via the warehouses. The final location of warehouse facilities was obtained using a genetic algorithm. The genetic algorithm was developed in order to solve the multi-criteria warehouses location problem. This paper describes the stages of the genetic algorithm i.e. the stage of designating the initial population, the crossover and mutation process, the adaptation function. In this paper, the process of calibration of this algorithm was presented. The results of the genetic algorithm were compared with the random results.

Paper presents assumptions to build simulation model allowing computational experimentation and inference on impact of various factors on transport modal split and the impact that transport has on environment. It presents a general mathematical model of environmentally friendly transport system and characterizes particular elements of this model. The structure of transport network is mapped with a graph. The characteristics describing elements of this structure, vehicles, and characteristics of harmful compounds emission are given. Model will be implemented in PTV VISUM environment-a tool supporting planning of transport processes as well as analysis and designing of transport systems. The model of proecological transport system developed in PTV VISUM will consist of model of demand for both passenger and freight transport, and model of transport network cooperating with various means of transport. Road and rail vehicles for passenger and freight transport are characterized and divided into groups according to type of fuel and harmful emission. The demand for transport services and emission of exhaust gases components are reflected in model of proecological transport system of Poland. The last part of paper presents a sample of preliminary research on estimating emission from particular type of vehicle.