The information technologies can be perceived as a means of automatization and modernization of business management, increasing income and easier and faster data processing, transferring and saving. Such technology enables multimedia communication of transport information to the users. The monitoring data are processed and converted into information so as to enable decision making at the operation and strategic level. Decision making support improves the decision making and can be applied in the railroad transport system in order to improve its quality. This paper gives a review of different systems that are used for automatic monitoring and inspection of railroad vehicles on five continents, which can be applied in the Railways of Serbia. The system can: detect overheated axle bearings, any flat parts on the rolling surfaces of the wheels, axles overload and car dimensions exceeding the norms. The use of these systems improves the safety, reduces the degradation of vehicles and railroad infrastructure and maintaining cost. This paper shows the number and the nature of accidents on the railroads in Serbia during the period from 2005 to 2010. The annual level of damages was estimated as well as the estimation of the financial benefit of introducing a monitoring system on the railroads in Serbia. The main design for measurement equipment in Serbia, done by CIP was presented. The “high speed” concept with its spectacular results that is applied in EU includes, high quality infrastructure, modern railroad vehicles provided with equipment for monitoring and diagnostics and for perfect organization of the transport, which enables the railroad transport to offer its advantages and have financial benefits. It is necessary that Railways of Serbia begins with introducing modern technologies given the present conditions.
References
Austin, K. B. (n.d.). Hotbox signal for railway trains.
Europe, R.-T. (n.d.). 7th International Exhibition Conferences on Rail Technology, InteGRail, Intelligent Integration of Railway Systems, 5(2), 9–10.
Gołąbek, P. (n.d.). AI w diagnostyce pojazdu i systemu, wykrywanie zdarzeń, pattern". *The impact of new information technologies to improve the functionality and safety of the train*. 4 12 00529.
Hart, M., Dž., A., N., B., P., L., K., Dejvis, D., & D. (n.d.). A machine vision system for monitoring railcar health: Preliminary results. *Technology Digest*, 04-008,.
Lagnebäck, R. (n.d.-a). Evaluation of wayside condition monitoring technologies for condition-based maintenance of railway vehicles. In Department of Civil, Mining and Environmental Engineering Division of Operation and Maintenance Engineering*.
Lagnebäck, R. (n.d.-b). Tillståndsbaserat underhåll för malmvagnar (En förstudie). *Järnvägstekniskt centrum, Luleå tekniska universitet*.
M., A., K., M. A., & R, D. (n.d.). Frequently asked questions on wheel impact load detector (WILD. *Indian Railway Technical Bulletin*, 66, Number 332.
Mlađenović, D., Đorđević, Ž., & Mlađenović, B. (n.d.). System of measurement stations for failure detection of wagons and trains on Serbian Railways Rail. 15. *DQM International Conference Dependability and Quality Management*.
Monitoring the Railway with Technology and Keeping Both Running. (n.d.). *http://Www.Rtcmagazine.Com/Articles/View/101555*.
Nikolić, I., Vujičić, S., Manojlović, G., & Dimitrijević, L. (n.d.). Savremena tehnologija i oprema za monitoring i dijagnostiku železničkih voznih sredstava. 15. *DQM International Conference Dependability and Quality Management*.
Radosavljević, A., Đorđević, Ž., & Mirković, S. (n.d.-a). Concept for Wayside Train Monitoring at Serbian Railways – Pilot project Batajnica. *RTR Special – Wayside Train Monitoring Systems*, 6–12.
Radosavljević, A., Đorđević, Ž., & Mirković, S. (n.d.-b). Sistemi za praćenje stanja voznih sredstava pored pruge. *Journal of Applied Engineering Science*, 6(20), 59–69.
Rail Inspection Portal (rip) TM *http://www.duostechnologies.com/DownloadCenter/RailInspectionPortal.pdf*. (n.d.). Preuzeto.
Schlake, W., B., B., P., L., C., Edwards, J., & R. (n.d.-a). Reducing Heavy-Haul Railcar Maintenance Costs and Improving Terminal Performance Using Technology: A Lean Production Approach.
Schlake, W., B., B., P., L., C., Edwards, J., & R. (n.d.-b). Train Delay and Economic Impact of Railroad Rolling Stock In-Service Failures. In *Railroad Engineering Program*, Department of Civil and Environmental Engineering.
SI, C. I. P. (n.d.). Generalni projekat sistema mernih stanica tehničko-kolskih poslova za dinamičku kontrolu tehničkog stanja voznih sredstava u saobraćaju na mreži JP “Železnice Srbije.”
Srbije, V. R. (n.d.). Ministarstvo za infrastrukturu i energetiku, Železnički koridor X kroz Srbiju. Preuzeto.
Trackside Intelligence (Track IQTM) *http://www.trackiq.com.au/railbam.html*. (n.d.). Preuzeto.
Trackside Intelligence (Track IQTM) *http://www.trackiq.com.au/wheel-condition-monitor.html*. (n.d.). Preuzeto.
Vesković, S., Đorđević, Ž., Stojić, G., Tepić, J., & Tanackov, I. (n.d.). Necessity and effects of dynamic systems for railway wheel defect detection. *Metalurgija*, 51(3), 333–336.
W., R., Aeppli, A., & Little, P. (n.d.). Post-Audit of Wayside Detector Costs and Benefits.
Zakon o bezbednosti u železničkom saobraćaju. (n.d.). Br, 60(98), 36 99.