Evaluation of Transportation System Resilience in the Presence of Connected and Automated Vehicles

Ahmed, Shofiq; Dey, Kakan; Fries, Ryan

doi:10.1177/0361198119848702

Cited by 23 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, choosing appropriate resilience metrics is the most critical step before measuring transportation resilience. The spectrum of suitable qualitative characteristics can be expanded to use investigated or easily accessible metrics used for these components, such as vulnerability and reliability Miller-Hooks, 2015, Gu et al, 2020;Ahmed et al, 2019). Leonbons et al (2019) interpreted the selection processes of the resilience metrics of transportation systems from one or both of the following two perspectives: the ability to maintain functionality under disruptions and the time and resources required to restore performance level after perturbations.…”

Section: Metrics Of Transportation Resiliencementioning

confidence: 99%

Section: Assessment Of Urban Transportation Resiliencementioning

confidence: 99%

See 1 more Smart Citation

Resilience concepts in integrated urban transport: a comprehensive review on multi-mode framework

Wang

Gao

et al. 2022

SRT

View full text Add to dashboard Cite

Purpose Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience. Design/methodology/approach The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized. Findings Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly. Originality/value This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

show abstract

Section: Metrics Of Transportation Resiliencementioning

confidence: 99%

Section: Assessment Of Urban Transportation Resiliencementioning

confidence: 99%

Resilience concepts in integrated urban transport: a comprehensive review on multi-mode framework

Wang

Gao

et al. 2022

SRT

View full text Add to dashboard Cite

show abstract

“…Empirical approaches are either deterministic [12,15,85,132,[165][166][167][168] or probabilistic [89,95,100,115,117,126]. Deterministic approaches do no use any probabilistic parameters in the resilience analysis process and cannot model the uncertainties that exist in the inputs of the metric [12,85,[165][166][167]. In probabilistic approaches, using the available data and statistical methods, the CIS's recovery and failure distribution function, etc., can be obtained [89,100,115,126].…”

Section: What Types Of Approaches Have Been Used For Technological Ciss' Resilience Analysis?mentioning

confidence: 99%

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

View full text Add to dashboard Cite

Risk management is a fundamental approach to improving critical infrastructure systems’ safety against disruptive events. This approach focuses on designing robust critical infrastructure systems (CISs) that could resist disruptive events by minimizing the possible events’ probability and consequences using preventive and protective programs. However, recent disasters like COVID-19 have shown that most CISs cannot stand against all potential disruptions. Recently there is a transition from robust design to resilience design of CISs, increasing the focus on preparedness, response, and recovery. Resilient CISs withstand most of the internal and external shocks, and if they fail, they can bounce back to the operational phase as soon as possible using minimum resources. Moreover, in resilient CISs, early warning enables managers to get timely information about the proximity and development of distributions. An understanding of the concept of resilience, its influential factors, and available evaluation and analyzing tools are required to have effective resilience management. Moreover, it is important to highlight the current gaps. Technological resilience is a new concept associated with some ambiguity around its definition, its terms, and its applications. Hence, using the concept of resilience without understanding these variations may lead to ineffective pre- and post-disruption planning. A well-established systematic literature review can provide a deep understanding regarding the concept of resilience, its limitation, and applications. The aim of this paper is to conduct a systematic literature review to study the current research around technological CISs’ resilience. In the review, 192 primary studies published between 2003 and 2020 are reviewed. Based on the results, the concept of resilience has gradually found its place among researchers since 2003, and the number of related studies has grown significantly. It emerges from the review that a CIS can be considered as resilient if it has (i) the ability to imagine what to expect, (ii) the ability to protect and resist a disruption, (iii) the ability to absorb the adverse effects of disruption, (iv) the ability to adapt to new conditions and changes caused by disruption, and (v) the ability to recover the CIS’s normal performance level after a disruption. It was shown that robustness is the most frequent resilience contributing factor among the reviewed primary studies. Resilience analysis approaches can be classified into four main groups: empirical, simulation, index-based, and qualitative approaches. Simulation approaches, as dominant models, mostly study real case studies, while empirical methods, specifically those that are deterministic, are built based on many assumptions that are difficult to justify in many cases.

show abstract

“…Janic [75] measured airport resilience based on the number of flights accommodated at the airport for a specified capacity ratio, while Faturechi et al [47] quantified the expected probability to accommodate the number of flights in a post-disaster situation. Expressing the system resilience as the ratio of the percentage of the number of trips that can be accommodated in a post-disaster scenario, Ahmed et al [5] proposed a simplified model to evaluate transportation system resilience which considered a mixed-traffic scenario of connected and automated vehicles (CAVs) and manual vehicles. Another recent article considered the arising travel demand from emergency evacuations out of disaster impacted zones and optimally solved to find the efficient routing strategy to improve the evacuation operation [139].…”

Section: Capacitymentioning

confidence: 99%

Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques

Ahmed

Dey

2020

J Infrastruct Preserv Resil

Self Cite

View full text Add to dashboard Cite

The objective of this comprehensive review study was to compile a state-of-the-art understanding of the resilience of the transportation system due to natural and man-made disasters. This study identified resilience measurement parameters that can be used to formulate resilience quantification and improvement strategies of a transportation system. Reviewed articles were classified and summarized from two perspectives: (i) modeling based on the mode of transportation; and (ii) modeling based on the mathematical technique used to quantify resilience. One of the unique contributions of this review article is that it compiled the key resilience indices that were analyzed to quantify resilience. This review revealed that the majority of the scholarly articles on the topic of transportation system resilience published since 2006, were focused on the resilience of the roadway-based transportation system, and vulnerability was one of the most explored resilience indices in evaluating transportation system resilience. Several future research directions were identified considering the implications of emerging transportation technologies (e.g., connected and automated vehicle technology). The complex interdependency among critical infrastructure systems such as power, transportation, and communication system, as well as the cybersecurity issues in the advanced intelligent transportation system, will be vital in the resilience analysis of future transportation systems.

show abstract

Evaluation of Transportation System Resilience in the Presence of Connected and Automated Vehicles

Cited by 23 publications

References 41 publications

Resilience concepts in integrated urban transport: a comprehensive review on multi-mode framework

Resilience concepts in integrated urban transport: a comprehensive review on multi-mode framework

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques

Contact Info

Product

Resources

About