Congestion Evaluation of Pedestrians in Metro Stations Based on Normal-Cloud Theory

Zhou, Jibiao; Wu, Yao; Mao, Xinhua; Guo, Shun; Zhang, Minjie

doi:10.3390/app9173624

Cited by 10 publications

(4 citation statements)

References 40 publications

(55 reference statements)

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“…Twelve hours of video data were collected in the channel, stairway and platform in a metro station in the city of Ningbo, China. As a proposition for the management of pedestrians in metro stations [25]. Peng emphasized the relationship between the layout of commercial centers and the layout of metro station centers, emphasized the smooth transfer of personnel between transportation modes and also emphasized the importance of metro commercial passageways [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization Path of Metro Commercial Passageway Based on Computational Analysis

Dai

Han

et al. 2023

Sustainability

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In this study, three key factors affecting the planning of metro commercial passageways are selected: the built environment of metro station, travel purposes of passenger flow and gate position of the station hall. The Pearson model, Logistic model and software simulation are combined to analyze passage passenger flow. In the study of metro passageways, most studies focus on the optimization of evacuation and transfer functions, with little research on metro commercial passageways. The purpose of this study is to improve the attractiveness of metro commercial passageways to passenger flow by improving the three key factors mentioned above, thereby improving the current situation of underground commerce. The analysis results show that in the built environment analysis, the four selected construction factors are highly correlated with the passenger flow, and the correlation degree is in the following order (from high to low): length of the passage, operation of the escalators, the distance from the passage exit to the bus stop and the passage width. In the passenger flow travel purpose analysis, based on the structure of passengers and the function of the surrounding land use, it can be divided into shopping, work and living purposes, and the result of model parameter comparison shows that “shopping trips” is the most significant purpose. According to the analysis of the location of the exit gates at the station concourse level, the passageway with a closer distance or linear pattern to the gate location is more attractive to the passenger flow.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization Path of Metro Commercial Passageway Based on Computational Analysis

Dai

Han

et al. 2023

Sustainability

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“…For example, in the traffic safety evaluation, Abellán et al [43] use DTC to analyze the relationship between stop/go decision, red light violation, and traffic parameters. Some researchers [44,45] have used DTC methods to explore the relationship between the relevant traffic rules and accident severity. In this study, the SPSS software package is used for the classification tree analysis.…”

Section: Decision Tree Modelsmentioning

confidence: 99%

A Comparative Study on Drivers’ Stop/Go Behavior at Signalized Intersections Based on Decision Tree Classification Model

Dong

Zhou

2020

Journal of Advanced Transportation

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The stop/go decisions at signalized intersections are closely related to driving speed during signal change intervals. The speed during stop/go decision-making has a significant influence on the dilemma area, resulting in changes of stop/go decisions and high complexity of the decision-making process. Considering that traffic delays and vehicle exhaust pollution are mainly caused by queuing at intersections, the stop-line passing speed during the signal change interval will affect both vehicle operation safety and the atmospheric environment. This paper presents a comparative study on drivers’ stop/go behaviors when facing a transition signal period consisting of 3 s green flashing light (FG) and 3 s yellow light (Y) at rural high-speed intersections and urban intersections. For this study, 1,459 high-quality vehicle trajectories of five intersections in Shanghai during the transition signal period were collected. Of these five intersections, three are high-speed intersections with a speed limit of 80 km/h, and the other two are urban intersections with a speed limit of 50 km/h. Trajectory data of these vehicle samples were statistically analyzed to investigate the general characteristics of potential influencing factors, including the instantaneous speed and the distance to the intersection at the start of FG, the vehicle type, and so on. Decision Tree Classification (DTC) models are developed to reveal the relationship between the drivers’ stop/go decisions and these possible influencing factors. The results indicate that the instantaneous speed of FG onset, the distance to the intersection at the start of FG, and the vehicle type are the most important predictors for both types of intersections. Besides, a DTC model can offer a simple way of modeling drivers’ stopping decision behavior and produce good results for urban intersections.

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“…Some more results about this issue can also be found in the works. [8][9][10][11] Furthermore, some existing papers discussed the influences of those exits' positions and structures on pedestrian evacuation. For example, Dong et al 12 investigated the influences of the aisles on the evacuation process of students from a classroom.…”

Section: Introductionmentioning

confidence: 99%

Influences of wing gate turnstiles’ characteristics on pedestrian evacuation based on agent-based egress model

et al. 2021

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Wing gate turnstiles are widely used in airports, subway stations, railway stations, movie theaters, parks, etc., and influence the pedestrian evacuation greatly while accidents happen. Thus, doing some researches on how to improve the evacuation speed for wing gate turnstiles are meaningful and necessary. In response to this issue, the influences of the wing gate turnstiles on pedestrian evacuation are investigated by pathfinder in this paper. Pathfinder is an agent-based egress simulator that uses steering behaviors to model occupant motion. First of all, by Pathfinder, two evacuation models with flat-shaped and wedge-shaped hosts wing gate turnstiles, respectively, are established, and the simulations of pedestrian evacuation are carried out by computer. The results show the evacuation speed obtained by the wedge-shaped host is faster than that obtained by the flat-shaped host. Moreover, the longest evacuation time is obtained when the channels’ width is 90 cm, and the shortest is obtained when the channels’ width is 51.4 cm. For a small number of evacuees, the evacuation time is mainly influenced by the original distributions of the evacuees, however, as the number of the evacuees increases, the evacuation time is mainly influenced by the number of the evacuees. Furthermore, the wing gate turnstiles with widened hosts can get less evacuation time no matter whether the hosts are flat-shaped or wedge-shaped, however, the evacuation-time-saved rate obtained by wedge-shaped host is much higher than that obtained by flat-shaped host. Then, the influences of the wedge angle on the pedestrian evacuation are discussed, and the optimal wedge angle is obtained. The obtained results can not only provide helps for managers to evacuate crowds under emergency, but also offer some assistances for designers to design those gate turnstiles or building exits.

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Congestion Evaluation of Pedestrians in Metro Stations Based on Normal-Cloud Theory

Cited by 10 publications

References 40 publications

Optimization Path of Metro Commercial Passageway Based on Computational Analysis

Optimization Path of Metro Commercial Passageway Based on Computational Analysis

A Comparative Study on Drivers’ Stop/Go Behavior at Signalized Intersections Based on Decision Tree Classification Model

Influences of wing gate turnstiles’ characteristics on pedestrian evacuation based on agent-based egress model

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