Modern IT and telecommunications technologies create new possibilities of data acquisition for the needs of traffic analyses and transport planning. At the same time, the current experience suggests that it is becoming increasingly difficult to obtain data on interurban travels of people in a traditional way (among others, in Poland there has been no comprehensive survey of drivers on the sections of non-urban roads since 2006). Within the framework of the INMOP 3 research project, an attempt was made to analyse the use of the Big Data application possibilities including data from SIM cards of the mobile telephony operator [1] and data from probe vehicle data (also known as “floating car data”), as data sources for carrying out the traffic analyses and modelling of travels by all means of transport in Poland. The article presents the manner, in which the data were used, as well as methodological recommendations for creating transport models at the national, regional and local levels. Especially the results of work can be applied for systematic passenger cars trip matrix update

The paper presents development of the new Polish method for performing capacity analysis of basic segments of dual carriageway roads (motorways and expressways). The method is based on field traffic surveys conducted at 30 motorway and expressway sites (class A and S roads) in Poland. Traffic flows, composition and travel times were observed in 15-min intervals at each site using ANPR filming method. These data were used to calibrate a family of traffic speed-flow relationships for different roads, based on Van Aerde model. Free flow speed of traffic and road class are the basic parameters defining the speed-flow relationship and the value of capacity per lane in pcu/h. Traffic density was adopted as the measure of effectiveness for defining the level of service. The paper describes derivation of formulae for estimation of free flow speed for different types of roads as well as determination of equivalent factors for converting vehicles to passenger car units. The method allows us to determine capacity and the level of service based on existing or forecasted traffic flow.