Heuristic Analysis of Transport System Efficiency Based on Movement of Mobile Network Users

• Autorzy: Sabak G.
• Języki publikacji: EN

Abstrakty

EN

The paper describes results of introductory research focused on possibility to use location data available in a mobile network for the analysis of transport system status and efficiency. The details of a system capable of detecting abnormal traffic situation (accidents, heavy congestion) are described. This system (called VASTAR) uses a neural network to learn and store certain characteristic of the analyzed part of a road system. Based on a measured divergence from normal characteristic, a notification about non-typical situation is triggered. The results of a computational experiment using real-world location data and simulation of abnormal situation are provided. The proposed system can be a relatively low cost way to improve competitiveness of a mobile network operator by allowing him to offer new type of informational service. It could also aid municipal authorities by providing support for decisions regarding road traffic control and management and be used by emergency services as a monitoring an alarming tool for detecting abnormal road traffic situations when other means of observation are unavailable.

Słowa kluczowe

EN

congestion detection; decision support systems; neural networks; transport system

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2009
• Tom: nr 3
• Strony: 95--102
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Sabak G.

• Faculty of Cybernetics, Military University of Technology, Gen. S. Kaliskiego st 2, 00-908 Warsaw, Poland,

Bibliografia

• [1] 3G TS 23.171 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Functional stage 2 description of location services in UMTS, Release 1999.
• [2] W. Michalski, “Przegląd metod określania lokalizacji abonentow w ruchomych publicznych sieciach komorkowych GSM/UMTS z uwzględnieniem dokładności dostarczanej informacji, technicznych możliwości wdrożenia oraz czynnikow ekonomicznych i prawnych. Etap 1: Charakterystyka metod służących do określania lokalizacji abonentow w sieciach GSM i UMTS”. Warsaw, Instytut Łączności, 2007 (in Polish).
• [3] CGALIES Final Report, Report on implementation issues related to access to location information by emergency services (E112) in the European Union, 2002.
• [4] W. S. McCulloh and W. Pitts, “A logical calculus of ideas immanent in nervous activity”, Bull. Math. Biophys., no. 5, pp. 115–133, 1943.
• [5] F. Rosenblatt, Principles of Neurodynamics. Washington: Spartan, 1962.
• [6] J. Hertz, A. Krogh, and R. G. Palmer, Wstęp do teorii obliczeń neuronowych. Warsaw, WNT, 1995 (transl. in Polish).