Adaptive Multilevel Collaborative Passenger Flow Control in Peak Hours for a Subway Line

Xue, Hongjiao; Jia, Limin; Guo, Jianyuan

doi:10.1155/2020/3862157

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…Bešinović et al (2021) constructed a hybrid model of train rescheduling and passenger flow control to resume train service as quickly as possible after a disruption and minimize passenger wait time. Xue et al (2020) and Wang et al (2015) built optimization models to achieve the shortest wait time for passengers, aiming to alleviate the pressure at oversaturated stations and realize the coordination of stations along one line. Jiang et al (2017) studied a strategy for passenger flow control on a single line that involved stop-skipping and proposed corresponding algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

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Collaborative passenger flow control for an urban rail transit network

Zhao

Tang

Zhang

2023

Computer aided Civil Eng

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Amid worsening passenger congestion, passenger flow control has become a major need in urban rail transit. However, existing passenger flow control strategies are fixed and do not consider the impacts of the spatial and temporal variations in passenger flow. To address the problems mentioned, a method for collaborative passenger flow control in urban rail transit is proposed. First, the temporal and spatial distribution of passengers in the network is obtained. Then, a model of collaborative passenger flow control for urban rail transit is built to reduce the number of controlled source points and controlled passengers and minimize the difference between the expected number of passengers on bottleneck links and the number of passengers with control. Next, a multilevel network that considers the time dimension is established based on the model. A forward–backward algorithm is introduced to make full use of the adaptive learning rate to solve the model. A case study based on a small‐scale network shows that the forward–backward algorithm has good convergence. To verify the effectiveness of the method, the passenger flow of Chengdu Metro during COVID‐19 is analyzed. The objective function of the forward–backward algorithm is 44% lower than that of the gradient descent method and 36% lower than that of adaptive moment estimate (ADAM). Its computational speed is also acceptable. The results show that compared with the fixed passenger flow control strategy of metro operators, the obtained strategy is more effective in reducing the number of controlled passengers and source points and alleviating congestion of bottleneck links.

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Section: Literature Reviewmentioning

confidence: 99%

“…Xue et al. (2020) and Wang et al. (2015) built optimization models to achieve the shortest wait time for passengers, aiming to alleviate the pressure at oversaturated stations and realize the coordination of stations along one line.…”

Section: Introductionmentioning

confidence: 99%

Collaborative passenger flow control for an urban rail transit network

Zhao

Tang

Zhang

2023

Computer aided Civil Eng

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“…The buffer platform plays a key role in managing flow and reducing congestion [29,30]. The size of the entrance gathering space can help alleviate bottlenecks and enhance the overall station environment [31].…”

Section: Investigating Potential Influencers On Passenger Satisfactio...mentioning

confidence: 99%

Prioritizing Subway Station Entrance Attributes to Optimize Passenger Satisfaction in Cold Climate Zones: Integrating Gradient Boosting Decision Trees with Asymmetric Impact-Performance Analysis

Ji,

Du,

2023

Buildings

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Subway station entrances serve as crucial links between urban environments and underground transit systems and are particularly vital in cities with cold climates. Specialized design strategies are essential to address user needs and promote safety and comfort, thereby encouraging sustainable travel in harsh winter conditions. This research utilizes data from Harbin and Shenyang, two winter cities in China, to explore the nonlinear influences of subway entrance attributes on passenger satisfaction through the combined use of gradient-boosting decision trees and asymmetric impact-performance analysis. The findings indicate that most key attributes of subway entrances impact passenger satisfaction asymmetrically, highlighting the significance of their hierarchical importance in generating satisfaction. These attributes are categorized into frustrators, dissatisfiers, hybrids, satisfiers, and delighters, based on their asymmetry levels. Considering the current performance of these attributes, the study identifies priority for improvement at Harbin and Shenyang’s subway entrances. This aids urban designers and city managers in making informed decisions for urban development and enhancing the overall commuter experience in winter cities.

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Jointly optimized demand-oriented train timetable and passenger flow control strategy for a congested subway line under a short-turning operation pattern

Xue

Jia

et al. 2022

Physica A: Statistical Mechanics and its Applications

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Adaptive Multilevel Collaborative Passenger Flow Control in Peak Hours for a Subway Line

Cited by 8 publications

References 29 publications

Collaborative passenger flow control for an urban rail transit network

Collaborative passenger flow control for an urban rail transit network

Prioritizing Subway Station Entrance Attributes to Optimize Passenger Satisfaction in Cold Climate Zones: Integrating Gradient Boosting Decision Trees with Asymmetric Impact-Performance Analysis

Jointly optimized demand-oriented train timetable and passenger flow control strategy for a congested subway line under a short-turning operation pattern

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