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RESEARCH PAPER
Cascading failures and maintenance optimization of urban transportation networks
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1
Zhengzhou University, China
 
2
University of Kent, United Kingdom
 
 
Submission date: 2023-03-05
 
 
Final revision date: 2023-06-15
 
 
Acceptance date: 2023-06-26
 
 
Online publication date: 2023-07-06
 
 
Publication date: 2023-07-06
 
 
Corresponding author
Liwei Chen   

Zhengzhou University, China
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):168826
 
HIGHLIGHTS
  • Cascading failure process of a traffic distribution system is studied.
  • The maintenance optimization is analyzed with minimizing maintenance time.
  • The intra-area and inter-area maintenance models are analyzed.
  • A city transportation network is used to illuminate the proposed models.
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ABSTRACT
A convenient urban transportation network facilitates a high-quality life and a high-growth economy. Due to cascading failures being a ticklish question triggering continuous road congestion, the maintenance plan is momentous to restore the urban transportation network. Considering fault edges are removed and cars slowly drive out of these edges to ease traffic congestion, a traffic distribution model is proposed to analyze the cascading failures process. To resume the transportation network, this paper proposes a maintenance optimization with minimizing maintenance time. It recovers the cascading failures from two perspectives: the intra-area maintenance model and the inter-area maintenance model. At last, a transportation network of a city in China is regarded as a case study to illuminate the feasibility of the proposed models. The results show that on the premise of dividing traffic areas, it is reasonable to adopt the intra-area maintenance plan for cascading failures. Compared with the intra-area maintenance plan, the inter-area maintenance plan saves more time.
ACKNOWLEDGEMENTS
The authors gratefully acknowledge the financial support for this research from the National Natural Science Foundation of China (No. 72071182), the Key Science and Technology Program of Henan Province (No. 222102520019), the Program for Science & Technology Innovation Talents in Universities of Henan Province (No. 22HASTIT022), the Program for young backbone teachers in Universities of Henan Province (No. 2021GGJS007), Major science and technology project of Henan Province of China (No. 201111210800), and Henan Province High-level Talent Internationalization Training Project of Henan Province of China (No. 22180007).
 
CITATIONS (2):
1.
Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT
Hongyan Dui, Xinmin Wu, Shaomin Wu, Min Xie
Frontiers of Engineering Management
 
2.
Iterative Fault-Tolerant Control Strategy for Urban Traffic Signals Under Signal Light Failure
Shuo Liang, Fei Yan
2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS)
 
eISSN:2956-3860
ISSN:1507-2711
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