Percolation-based health management of complex traffic systems

doi:10.1007/s42524-021-0174-0

Front. Eng

2021, Vol. 8

Issue (4) : 557-571 https://doi.org/10.1007/s42524-021-0174-0

REVIEW ARTICLE

Percolation-based health management of complex traffic systems

Guanwen ZENG¹, Zhiyuan SUN¹, Shiyan LIU¹, Xiaoqi CHEN¹, Daqing LI¹(

), Jianjun WU², Ziyou GAO²

¹. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
². State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

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Abstract

System health management, which aims to ensure the safe and efficient operation of systems by reducing uncertain risks and cascading failures during their lifetime, is proposed for complex transportation systems and other critical infrastructures, especially under the background of the New Infrastructure Projects launched in China. Previous studies proposed numerous approaches to evaluate or improve traffic reliability or efficiency. Nevertheless, most existing studies neglected the core failure mechanism (i.e., spatio–temporal propagation of traffic congestion). In this article, we review existing studies on traffic reliability management and propose a health management framework covering the entire traffic congestion lifetime, from emergence, evolution to dissipation, based on the study of core failure modes with percolation theory. Aiming to be “reliable, invulnerable, resilient, potential, and active”, our proposed traffic health management framework includes modeling, evaluation, diagnosis, and improvement. Our proposed framework may shed light on traffic management for megacities and urban agglomerations around the world. This new approach may offer innovative insights for systems science and engineering in future intelligent infrastructure management.

Keywords traffic health health management critical infrastructure systems science and engineering

Corresponding Author(s): Daqing LI

Just Accepted Date: 09 September 2021 Online First Date: 27 September 2021 Issue Date: 01 November 2021

Cite this article:

Guanwen ZENG,Zhiyuan SUN,Shiyan LIU, et al. Percolation-based health management of complex traffic systems[J]. Front. Eng, 2021, 8(4): 557-571.

URL:

https://academic.hep.com.cn/fem/EN/10.1007/s42524-021-0174-0
https://academic.hep.com.cn/fem/EN/Y2021/V8/I4/557

Fig.1 Traffic health index system.

Fig.2 Traffic health management framework.

Fig.3 Demos for traffic network modeling methods. (a) Topological network modeling (the gray lines represent common roads, and the bold green lines represent urban highways). (b) Flow network modeling (different colors represent different functional levels of the road segments, with the red, yellow, and green lines representing a low, medium, and high level, respectively) (Li et al., 2015). (c) Correlation network modeling (the two road segments indicated by an arrow are highly correlated owing to their high cross-correlation value calculated by sequential velocity data) (Guo et al., 2019). (d) Failure network modeling (the spatio–temporal propagation behavior of cascading overload failures in spatially embedded networks, with the initial attack nodes indicated in red, the overloaded nodes in the current step indicated in deep blue, the failed nodes in the previous steps indicated in black, and the functional nodes that did not fail indicated in cyan) (Zhao et al., 2016).

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