Official road classification is used for general purposes but for deep traffic analysis this classification is not sufficient. Today there are efficient ways to collect large amounts of data from multiple sources that can be used for different causes. These large amounts of data cannot be analysed with traditional methods and new state-of-the-art algorithms should be used. The paper presents the methodology for urban road classification based on GPS (Global Positioning System) vehicle tracks and data on infrastructural characteristics of road subsegments. The process of defining road categories includes data collection and analysis, data cleansing and fusion, multiple regression, principal component analysis (PCA) as well as cross-validation and k-nearest neighbour (kNN) classification procedure. Results of such continuum can be used as base for further traffic analysis as travel time prediction, optimal route detection etc.

Positioning of intermodal terminals is of key importance

No abstract

Public urban passenger transit in the City of Zagreb consists of trams, buses and rail traffic. Constant growth of the motorization level in the City of Zagreb, and the existing condition of public urban transit, which fails more and more in satisfying the traffic demand, impose the need to introduce a new urban transport subsystem. In order to meet the current and future needs, and to improve the level of the quality of service, the introduction of a LRT (light rail transit) system is proposed, which has also been planned by the urban planning-traffic documentation of the City of Zagreb. One of the problems in the planning of the LRT system is the selection of the track gauge regarding the possibility of connection to the existing tram network, which uses 1000 mm (the railway network uses 1435 mm). This paper applies the AHP method (Analytic Hierarchy Process) for the selection of the optimal track gauge, as one of the multi-criteria decision making methods. The hierarchic structure of all relevant criteria and their sub-criteria will be defined.

No abstract