A verification method for identifying critical segments considering highly correlated characteristics of traffic flow

Zhang, Zundong; Zhu, Mengyao; Ban, Jeff; Zhang, Yifan

doi:10.1142/s0129183120500485

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…However, for traffic management, identifying key roads by only considering the topological characteristic is not enough because key roads are congested and still capable of functioning at a low service level. Methods were proposed by combining the statistical index of network and static traffic characteristics (6,11).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Wang et al defined key road clusters as road sets whose deterioration would induce the most increase in total travel cost in the network (17). Zhang et al defined key road clusters by manually selecting roads whose speed decreases greatly worsen the speed of the roads in the adjacent area, and adjacent roads are affected greatly (6). Li and Luo defined key road clusters as road sets whose failure may greatly promote the total travel impediment of the network (18).…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Besides, the interaction between roads is rarely considered in the existing literature. However, from the perspective of congestion formation and propagation mechanism, the traffic congestion on a single road has an impact on the surrounding roads (4)(5)(6).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

Liu

et al. 2021

Transportation Research Record

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Urban traffic congestion is one of the urban diseases that needs to be solved urgently. Research has already found that a few road segments can significantly influence the overall operation of the road network. Traditional congestion mitigation strategies mainly focus on the topological structure and the transport performance of each single key road segment. However, the propagation characteristics of congestion indicate that the interaction between road segments and the correlation between travel speed and traffic volume should also be considered. The definition is proposed for “key road cluster” as a group of road segments with strong correlation and spatial compactness. A methodology is proposed to identify key road clusters in the network and understand the operating characteristics of key road clusters. Considering the correlation between travel speed and traffic volume, a unidirectional-weighted correlation network is constructed. The community detection algorithm is applied to partition road segments into key road clusters. Three indexes are used to evaluate and describe the characteristic of these road clusters, including sensitivity, importance, and IS. A case study is carried out using taxi GPS data of Shanghai, China, from May 1 to 17, 2019. A total of 44 key road clusters are identified in the road network. According to their spatial distribution patterns, these key road clusters can be classified into three types—along with network skeletons, around transportation hubs, and near bridges. The methodology unveils the mechanism of congestion formation and propagation, which can offer significant support for traffic management.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

Liu

et al. 2021

Transportation Research Record

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“…The link between different nodes in the road network forms a cluster. A link is considered critical if the loss of this link impairs the functionality of the road network [134]. Different approaches were employed to study the criticality of links and their effect on road networks.…”

Section: Link Importance Indexmentioning

confidence: 99%

“…Vodak et al [146] studied the criticality by formulating a rapid deterministic algorithm. Furthermore, Zhang et al [134] focused on characteristics that are highly correlated for traffic flow in order to create a verification method, capable of specifying the most critical links in road network.…”

Section: F(adt E ) =mentioning

confidence: 99%

Seismic Vulnerability Assessment Methodologies for Roadway Assets and Networks: A State-of-the-Art Review

2020

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Road networks are considered as one of the most important transport infrastructure systems, since they attain the economic and social prosperity of modern societies. For this reason, it is vital to improve the resiliency of road networks in order to function normally under daily stressors and recover quickly after natural disasters such as an earthquake event. In the last decades, vulnerability assessment studies for road networks and their assets gained great attention among the research community. This literature review includes a brief introduction about seismic vulnerability assessment, followed by the roadway assets damage and their damage states, and then the main typologies for the vulnerability assessment of roadway assets. Moreover, it focuses on available assessment methods, which were proposed to quantify the vulnerability of road networks and its assets. These methods are divided into two main categories, physical and traffic-based approaches. Methods based on fragility functions and vulnerability indexes were investigated in physical approach for roadways and its assets. On the other hand, accessibility and link importance index were explored in traffic-based approach for road networks. This paper reviews and comments the most common vulnerability assessment methods for road networks and its assets and points out their advantages and disadvantages. The main gaps and needs are identified and recommendations for future studies are provided.

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A novel seismic vulnerability assessment for the urban roadway by using interval valued fermatean fuzzy analytical hierarchy process

Yildirim,

Kavus,

Karaca

et al. 2024

Nat Hazards

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Seismic activity poses significant challenges to urban road infrastructure, often resulting in road closures due to the combined effects of damaged buildings and affected road networks. In contrast, the resilience of roads is crucially important for all kinds of relief activities after an earthquake in this context, this study outlines a methodological framework for assessing the vulnerability of urban road infrastructure to seismic activity. By integrating various criteria within an Interval-valued Fermatean fuzzy Analytic Hierarchy Process framework, the approach offers a comprehensive analysis of vulnerability, considering both quantitative and qualitative factors. This method is a weighting method that has not been used before in MCDM studies in the field of earthquakes. A risk factor is obtained for each road section by using this comprehensive analysis of the vulnerability. This integrated approach considers the interplay between damaged buildings, road networks, and disaster response mechanisms, thereby enhancing the ability to anticipate and respond to seismic events effectively. The study conducts a case study in Istanbul, Turkey, a seismic-prone area, to validate the effectiveness of the proposed methodology. Key findings indicate that the approach can identify and quantify vulnerabilities within the transport network, enabling the identification of high-risk areas for necessary mitigation measures. Moreover, the methodology’s validity is confirmed through a validation study in Gölbaşı district, Adıyaman, Türkiye, which experienced severe damage during earthquakes on 6 February 2023 earthquakes. By providing a structured and comprehensive vulnerability analysis, the research aims to contribute to the resilience of urban infrastructure, particularly in earthquake-prone regions.

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A verification method for identifying critical segments considering highly correlated characteristics of traffic flow

Cited by 4 publications

References 20 publications

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

Taxi Global Positioning System Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed–Traffic Volume Correlation

Seismic Vulnerability Assessment Methodologies for Roadway Assets and Networks: A State-of-the-Art Review

A novel seismic vulnerability assessment for the urban roadway by using interval valued fermatean fuzzy analytical hierarchy process

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