Train design features affecting boarding and alighting of passengers

Thoreau, Roselle; Holloway, Catherine; Bansal, Gurvir; Gharatya, K.; Roan, T; Tyler, Nick

doi:10.1002/atr.1446

Cited by 29 publications

(19 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The existing research mainly focused on the survey and statistics of time [1][2][3][4], but did not cover the influencing factors and mechanisms of boarding and alighting. In addition, there is insufficient attention to modeling the process of alighting and boarding.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model

et al. 2020

View full text Add to dashboard Cite

This paper presents a multi-agent simulator based on social force model to simulate each passenger’s boarding and alighting behavior both in a train and on a platform seamlessly. Passengers can be divided into three types: to board, alight and stay in train. They have different individual attributes and follow different walking rules. Due to the characteristics of subway environment and passengers' behavior in boarding and alighting, some adjustment and improvement were made to the basic social force model: (1) In some cases during the process of boarding and alighting, the driving force targeting to destination needs to be doubled, and the repulsion force between two agents needs to be reduced. (2) Passengers who stay in the train show quite different movement from the usual pedestrian. They usually want to remain still, unless they are in front of the door. To describe their behaviors, we introduced a tangent detour force. The scope of the interaction between agents is extended and some passengers out of the visual field also should be counted. (3) Divide the repulsive force between an agent and an obstacle into the frontal force and convex corner force. These two forces have different spheres of influence and calculation methods. The agents could exhibit reasonable intelligence and diversity during alighting and boarding.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In [15] the clusters are represented by a rectangular shape (width and length) which is aligned in the longitudinal direction of the platform. [4], the vertical gap between platform and vehicle floor is big [16], and the door width is narrow [17]. However, relatively little work has been carried out to understand boarding activity at railway platforms.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Patterns at Railway Platforms during Boarding: Evidence from a Case Study in Switzerland

Dell’Asin

Hool

2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

The boarding/alighting process at railway platforms is an important determinant of the railway system performance and depends on the characteristics of passengers, the layout of the platform, and the rolling stock. This research aims to increase the understanding of the process, providing a methodological approach to model the passengers’ behaviour when boarding at railway platforms. Adequate criteria were selected to define the so called “boarding cluster” and an easy mechanism was developed to select the boarding clusters. Passenger flow data collected at Bern railway station in Switzerland was used to test the proposed approach. The results show that (a) the clusters near the doors grow in the longitudinal direction with a rate of 6:1 between the length and width of clusters, and that (b) the growth curves rise quickly when clusters are still small, i.e., at the beginning of the boarding/alighting activity. Further research is needed to extend the validation of the model, considering other variables, such as critical pedestrian densities which occur at specific hot spots near obstacles at platforms.

show abstract

“…For example, most stations (metro ones, railway ones, etc.) experience extremely high level of pedestrian density during the peak hours and often produce serious traffic problems (e.g., congestion and accident) [3][4][5], which has attracted many researchers to explore the complex traffic phenomena produced by the pedestrian flow at the traffic stations [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Tang

Shao

Chen

et al. 2017

Journal of Advanced Transportation

View full text Add to dashboard Cite

Modeling passengers' motion at high speed railway (HSR) station has been a hot topic in the field of pedestrian flow theory. However, little effort has been made to explore the passengers' boarding behaviors at the platform of HSR station. This study proposes a cellular automaton (CA) model to study the passengers' boarding behavior at the platform of HSR station. Some numerical tests are conducted to explore the passengers' movements and the complex traffic phenomena (e.g., each passenger's trajectory, congestion, and travel time) which occur during the boarding process. The numerical results illustrate that the passengers' inflow rate and entrance choice behavior have significant impacts on the boarding efficiency. These results can help managers to understand the passengers' boarding behavior and to improve the boarding efficiency.

show abstract

Train design features affecting boarding and alighting of passengers

Cited by 29 publications

References 15 publications

Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model

Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model

Pedestrian Patterns at Railway Platforms during Boarding: Evidence from a Case Study in Switzerland

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

Contact Info

Product

Resources

About