In this study, using the network approach, we analyzed the urban public transportation systems of 5 Hungarian cities. We performed a comprehensive network analysis of the systems with the main goal of identifying significant similarities and differences of the transportation networks of these cities. Although previous studies often investigated unweighted networks, one novelty of our study is to consider directed and weighted links, where the weights represent the capacities of the vehicles (bus, tram, trolleybus) in the morning peak hours. In particular, we calculated descriptors of global network characteristic and various centrality measures of the network nodes in both the weighted case and unweighted case. By comparing the results obtained for the different cities, we get a highly detailed picture of the differences in the organization of the public transport, which may due to historical and geographical factors. Also, by comparing the results obtained from the weighted and unweighted approaches, we can identify which are the most sensitive routes and stations of the network pointing out some organizational inconsistencies of the transportation system.

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Due to the difficulties of the description of temperature variation, rating of asphalt pavement structures respecting fatigue is made on equivalent temperature. In general, equivalent temperature is calculated according to average and weighted air temperature. It is proven, based on processing numerous data provided by the temperature detectors laid in the pavement structures as well as determination of the partial fatigue values, which the present method used to calculate the equivalent temperature results in data losses. Furthermore, it is proven, that pavement structure temperature based on air temperature can be determined only to limited extent. Knowledge of temperature distribution of the pavement structure provides the possibility of more accurate design.

Abstract

By the analysis of the traffic data collected loop detectors we can get information about the capacities of different freeway sections.The results and the analysis of the measurements able to show the real maximum traffic volume:2300-2400 pcphpl.According to the recent regulations the maximum tolerable traffic volumes are much lower than these and lower than 2200 (capacity in HCM).We recommend using the HCM capacity values and the HCM Level of Services (LOS) categories in Hungary.By these 20% higher capacity value are more rational from the point of view of the national economy.Keywords traffic data analysis · highway capacity · level of services Acknowledgement This work is connected to the scientific program of the "Development of quality-oriented and harmonized R+D+I strategy and functional model at BME" project.