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Cell-id based vehicle location accuracy - field tests report

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Abstract: Monitoring of vehicle position and movement via positioning of communication devices inside those vehicles is one of many options to obtain data on stream of vehicles. This paper presents the results of accuracy analysis for the vehicle positioning within GSM network, via method based on cell identifier (Cell-Id location). The analysis takes different types of roads, such as: highways, motorways, trunk roads, voivodeship roads, large urban areas and smaller towns, into consideration. Data for the analysis has been collected during test drives.
Cellular network of one of the leading mobile network operators in Poland has been used
1. INTRODUCTION
Nowadays, Intelligent Transportation Systems (ITS) are perceived as one of the most promising way of solving problems that the reality puts in front of different institutions and people responsible for fulfillment of society’s transportation needs. Similarly to all information systems, the effectiveness of ITS operations depends on the availability and quality of input data, the acquisition of which is a crucial factor in the costs of the ITS system performance.
One of the alternatives (or maybe rather a supplement) for traditional methods of vehicle data collection (such as cameras, induction loops and other) are the methods of data collection via electronic devices used in those vehicles (Floating Car Data [1]). At present, however, not all vehicles are equipped with devices that would allow the transmission of data to the central system.
During the last few years, both in Poland and all over the world we have observed a significant increase in cell phone users. According to the Polish Office of Electronic
Communications (Urząd Komunikacji Elektronicznej) [2], in 2009, 84.9% of Poles used it, 8% of this group declared ownership of two or more cell phones. At the same time, using wireless communication based on cell network for the machine to machine communication (M2M) becomes more popular.
The above data justifies assumption that, in the majority of the cases, a driver or at least one of the passengers carries a cell phone. A cell phone network is able to monitor the position of its users and can become the source of positioning data for the stream of vehicles (Floating Cellular Data [3]). As cell phone networks cover large areas (for instance almost 100% of area of European countries) we can expect that they can provide data even from roads that might not be covered by other types of data-collecting detectors due to costs. (...)

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