Probability-based reliability and availability assessments for a lane at a signalised intersection
Authors:
- M. Maslak,
- K. Ostrowski
Abstract
An original computational approach allowing the reliability and the availability assessments of the lane located at an intersection with traffic signals is presented and discussed in detail. Operation of the lane of this type is described using a probabilistic model of an alternating renewal process. The occurrence of queues with vehicles waiting for the change of the lights, but only in the cases when the number of these vehicles is observed to be at least equal to the arbitrarily accepted number relating to the critical congestion level, is treated as the lane’s failure. The proposed formal model is calibrated based on the empirical intensity function being a rate of occurrence of failures. The availability of the lane is interpreted as the probability that such lane will be serviceable at a predetermined time-point t, whereas its reliability—as the probability that it will be serviceable in the whole analysed time interval.
- Record ID
- CUT2395f4ca975e43b38500aad5c0482218
- Publication categories
- ; ;
- Author
- Pages
- 2573-2580
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 2580; Oznaczenie streszczenia - Abstr.
- Book
- Haugen Stein, Stein Haugen Barros Anne, Anne Barros van Gulijk Coen Coen van Gulijk [et al.] (eds.): Safety and reliability : safe societies in changing world : proceedings of the 28th International European Safety and Reliability Conference (ESREL 2018), Trondheim, Norway, 17-21 June 2018, 2018, Leiden [etc.], Taylor & Francis Group, CRC Press/Balkema, Taylor & Francis Group, ISBN 978-1-351-17466-4 (eBook)
- URL
- https://www.taylorfrancis.com/books/e/9781351174657/chapters/10.1201%2F9781351174664-323 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 50
- Publication indicators
- = 0
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT2395f4ca975e43b38500aad5c0482218/
- URN
urn:pkr-prod:CUT2395f4ca975e43b38500aad5c0482218
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.