Identification of Transport Vehicle for Mobile Network Subscribers
We present a method for identification of transport vehicle via the cell phone users using the data of the mobile operator. The method is based on a model that allows to calculate the approximate speed on road sections and to estimate congestion of differ
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Abstract. We present a method for identification of transport vehicle via the cell phone users using the data of the mobile operator. The method is based on a model that allows to calculate the approximate speed on road sections and to estimate congestion of different transport network sections. The corresponding algorithm is implemented on the GIS platform GeoTime 3. Experimental results for the road network of Moscow city and Moscow region are discussed. Keywords: Base stations
Transport flows Dynamic GIS GeoTime 3
1 Introduction Increased mobility of modern society leads to an overload of some segments of transport networks. The solution is to improve the management of such networks. This requires the development of means of determining the characteristics of a network traffic in real time, which can result in significant costs for installation and maintenance of infrastructure. For evaluating the characteristics of a network load in real-time with a good accuracy and at an affordable price it is necessary to use new monitoring technologies. Widespread mobile systems are currently considered as one of the most promising technologies for collecting such information. Mobile devices are being moved together with the vehicles through the wireless mobile fields: GPS, Wi-Fi and cellular communication. This provides anonymous monitoring of urban dynamics. In a modern city there are a lot of overlapped transport networks, such as road network, railways and metro. Mobile phone user can travel in any network or even in several networks successively. To determine the load of different segments of networks, we have to identify which network is each mobile phone user exploiting: is he moving or not, is he moving by foot or by a transport, and what kind of transport is he using. Recently a number of papers has been published which study the monitoring of the traffic flow velocity by means of cellular communication. Base station (BS) of the mobile network fixes the times of the cell change signals from the mobile phone. Mobile network operator fixes the BS covering the phone location. Relying on the sequence of BS switch signals it is possible with some degree of certainty to determine the route of the phone user and his speed. Lowering of the road speed below a certain level in a section of the road network may indicate congestion and traffic jams. As far as we know, this problem wasn’t yet studied. In [1, 2], the authors propose the methods for analysis of traffic jams for a separate road along which cell stations are © Springer International Publishing Switzerland 2016 O. Gervasi et al. (Eds.): ICCSA 2016, Part III, LNCS 9788, pp. 256–264, 2016. DOI: 10.1007/978-3-319-42111-7_20
Identification of Transport Vehicle
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arranged. In [3, 4], the methods for analysis of the motor transport velocity on intersections of several highways were considered. In [5, 6] practical approaches for assessing the urban dynamics and transport routes were suggested. SVN method for suburban traffic is discussed in [7]. In the paper [8], a statisti
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