Abstract-This paper introduces low-cost non-intrusive sensory that can collect traffic data based on Raspberry Pi single board computer. Image information acquired by Raspberry Pi HD camera module is analyzed for moving objects presence. After evaluation of detected object count, size, class and motion vector object properties are sent to server node by RF transceiver. Sensor low-power consumption ensures possibility to operate from battery for an extended period of time.

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Planning the range of transport services in the selected geographical area is particularly relevant in the context of developing integrated transport systems. The aim is to build a sustainable public passenger transport system as an alternative to individual transport. Realizing quality and efficient transport services is a comprehensive process, though there are currently no applicable principles of its proposal and creation in terms of creating the appropriate range of railway infrastructure. The paper presents the general research results focused on solving the problems of transport services in the regional passenger railway transport. The gravity model allows the study of the dependence between the population in the adjacent area, the availability of stops and the length of the transport line. A part of the research is to adjust the inputs of this model to more accurately determine the range of railway infrastructure. Based on the research of the palette of railway lines, the necessary capacity of infrastructure in terms of ensuring the required number of trains in peak hours is adjusted. The output is a proposal of the session to the calculation of transport potential and subsequently its practical application. Finally, based on its resulting values, it is possible to adjust the transport concept to set up a more efficient and higher quality timetable.

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