TY - GEN
T1 - Reliability Evaluation of Autonomous Transportation System Architecture Based on Markov Chain
AU - Shen, Bingyv
AU - Liu, Guangyun
AU - Cheng, Shaowu
AU - Li, Xiantong
AU - Li, Kui
AU - Liang, Chen
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Reliability assessment methods are widely used in the reliability evaluation of transportation networks and transportation special equipment. The reliability assessment of Autonomous Transportation System (ATS) architecture can identify possible hidden problems and structural deficiencies before the implementation of ATS. The physical architecture of ATS maps the functional and logical architectures to the real world, hence, reliability assessment of the ATS architecture requires synthesizing information from all the three architectures. However, the current reliability assessment method of ATS architecture only took into account of the logical architecture of ATS. To meet this gap, a Markov chain model of the physical objects of ATS architecture is established, portraying the dynamic evolution of the physical object states, and failure rate and occupancy rate of physical objects is used to describe the reliability of the physical objects of ATS architecture, and the reliability of the physical objects and the importance of the physical objects in the ATS architecture is taken as the reliability index of ATS architecture. The method is applied to the reliability evaluation of the Vehicle Environment Awareness Service (VEAS) architecture, and the results show that the key physical objects that affect the reliability of the ATS architecture can be found by comparing the physical object importance and occupancy rate, and the reliability of the physical objects can be improved by raising the repairable rate and reducing the failure rate, thereby the reliability of the ATS architecture is promoted.
AB - Reliability assessment methods are widely used in the reliability evaluation of transportation networks and transportation special equipment. The reliability assessment of Autonomous Transportation System (ATS) architecture can identify possible hidden problems and structural deficiencies before the implementation of ATS. The physical architecture of ATS maps the functional and logical architectures to the real world, hence, reliability assessment of the ATS architecture requires synthesizing information from all the three architectures. However, the current reliability assessment method of ATS architecture only took into account of the logical architecture of ATS. To meet this gap, a Markov chain model of the physical objects of ATS architecture is established, portraying the dynamic evolution of the physical object states, and failure rate and occupancy rate of physical objects is used to describe the reliability of the physical objects of ATS architecture, and the reliability of the physical objects and the importance of the physical objects in the ATS architecture is taken as the reliability index of ATS architecture. The method is applied to the reliability evaluation of the Vehicle Environment Awareness Service (VEAS) architecture, and the results show that the key physical objects that affect the reliability of the ATS architecture can be found by comparing the physical object importance and occupancy rate, and the reliability of the physical objects can be improved by raising the repairable rate and reducing the failure rate, thereby the reliability of the ATS architecture is promoted.
KW - Autonomous Transportation System
KW - Failure Rate
KW - Markov Chain
KW - Reliability
UR - https://www.scopus.com/pages/publications/85172412629
U2 - 10.1007/978-3-031-40953-0_17
DO - 10.1007/978-3-031-40953-0_17
M3 - 会议稿件
AN - SCOPUS:85172412629
SN - 9783031409523
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 205
EP - 217
BT - Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops - ASSURE, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, Proceedings
A2 - Guiochet, Jérémie
A2 - Tonetta, Stefano
A2 - Schoitsch, Erwin
A2 - Roy, Matthieu
A2 - Bitsch, Friedemann
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2023
Y2 - 19 September 2023 through 22 September 2023
ER -