Identifying the Bottlenecks of Urban Metros and Analyzing the Passenger Source

Lv, Sirui; Hu, Yang; Zhang, Fan; Wang, Pu

doi:10.1061/9780784484265.247

Cited by 2 publications

(2 citation statements)

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“…Li et al [52] employed the network percolation approach to identify the bottleneck road segments and discovered that slightly increasing the traffic speeds of the bottleneck segments could greatly improve the functional connectivity of the road network. Lv et al [53] employed the network percolation approach to pinpoint the bottleneck sections of an urban metro and improved the functional connectivity of the urban metro network by reducing the load ratios of the bottleneck sections.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where I a determines if highway segment a will be removed from the giant cluster, and q is a predefined VOC threshold. Highway segment a is defined as functional (can meet the required level of service) if VOC a ≤ q (i.e., I a = 1) and not functional if VOC a > q (i.e., I a = 0) [52,53]. The retained highway segments in the giant cluster can meet the required level of service.…”

Section: Network Percolation Approachmentioning

confidence: 99%

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A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification

Li,

Yang,

et al. 2023

Sustainability

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Identifying the bottleneck segments and developing targeted traffic control strategies can facilitate the mitigation of highway traffic congestion. In this study, we proposed a new method for identifying the bottleneck segment in a large highway network based on the percolation theory. A targeted on-ramp control approach was further developed by identifying the major vehicle sources of the bottleneck segment. We found that the identified bottleneck segment played a crucial role in maintaining the functional connectivity of the highway network in terms of meeting the required level of service. The targeted on-ramp control approach can more effectively enhance the service level of the highway network.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Network Percolation Approachmentioning

confidence: 99%

A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification

Li,

Yang,

et al. 2023

Sustainability

Self Cite

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Exploring the Spatiotemporal Patterns of Passenger Flows in Expanding Urban Metros: A Case Study of Shenzhen

Lv,

Yang,

et al. 2024

IJGI

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Despite extensive investigations on urban metro passenger flows, their evolving spatiotemporal patterns with the extensions of urban metro networks have not been well understood. Using Shenzhen as a case study city, our study initiates an investigation into this matter by analyzing the evolving network topology of Shenzhen Metro. Subsequently, leveraging long-term smart card data, we analyze the evolving spatiotemporal patterns of passenger flows and develop an analytical approach to pinpoint the major passenger sources of urban metro congestion. While the passenger travel demand and the passenger flow volumes kept increasing with the extension of the urban metro network, the major passenger sources were very stable in space, highlighting the inherent invariance in the evolution of the urban metro system. Finally, we analyze the impact of population and land use factors on passenger flow contributions of passenger sources, obtaining useful clues to foresee future passenger flow conditions.

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Identifying the Bottlenecks of Urban Metros and Analyzing the Passenger Source

Cited by 2 publications

References 0 publications

A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification

A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification

Exploring the Spatiotemporal Patterns of Passenger Flows in Expanding Urban Metros: A Case Study of Shenzhen

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