The TTTP Journal is an international scientific journal published in English language with both electronic and printed versions.
TTTP provides conditions and positive environment for the new idea promotion, exchange research results and achievements accomplished by the scientific community from academia and transportation industry.
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The application of intelligent transport systems (hereinafter ITSs) on roads enables continu- ous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic ac- cident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
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Pan European University APEIRON Banja Luka Journal TTTP Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
jita@apeiron-edu.eu
+387 51 247 925
+387 51 247 975
+387 51 247 912
Pan European University APEIRON Banja Luka Journal JITA Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
Pan European University APEIRON Banja Luka Journal TTTP Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
tttp@apeiron-edu.eu
+387 51 247 925
+387 51 247 975
+387 51 247 912
© 2024 Paneuropean University Apeiron All Rights Reserved