Vehicle fuel consumption is one of the most important operational characteristics of road vehicles. The fuel consumption can be determined by different methods under laboratory conditions or by carrying out drive tests. One of the possibilities to quantify a way of vehicle driving is to analyse the selected parameters of the fuel mixture electronic control system. The objective of the paper is to predict fuel consumption via parameters of throttle position and engine speed. The measurement was carried out in the laboratory of the Department of Road and Urban Transport by using a MAHA roller dynamometer. The result is an estimation of accuracy of such fuel consumption determination and its possible utilisation for a system of assessing the vehicle driving style of drivers.

The paper deals with the issue of efficiency of public passenger transport through financial support from public funds from the perspective of improving road safety. The aim is to verify the hypothesis that financing public passenger transport from public funds is a significant tool to influence the number of passengers carried by individual automobile transport, and thus it can be used a tool for influencing road safety in a particular territory. The first part of the paper analyses the sources for financial support of public passenger transport. The next part describes the assumptions for improving road safety through increasing the support of public passenger transport. The last part analyses possible impacts of financing public passenger transport on the road safety in relation to the specified hypothesis.

Vehicle coast-down method as a tool for calculating total resistance for the purposes of typeapproval fuel consumption.

The paper includes the research outputs in the area of examining the total costs of delivering products to the customer for a particular transport mode choice. The methodology of choice procedure is presented based on the calculation of threshold distance for different variants of shipments in road and rail transport based on delivery costs. The paper also assesses the possibility of compiling a multi-criteria function for enterprise logistics, that beside the costs takes into account also other aspects as rail transport availability, time for loading and unloading, shipping time or environmental impacts.

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