Research on Simulation of Pedestrian in Passenger Transfer Hub Based on Commuter

2013 ◽  
Vol 409-410 ◽  
pp. 1407-1414
Author(s):  
Bing Li ◽  
Lu Zhang
Keyword(s):  
Transportation Network ◽  
Urban Transportation ◽  
Service Level ◽  
Transfer Efficiency ◽  
Network Node ◽  
Passenger Flow ◽  
Traffic Characteristics ◽  
Operational Management ◽  
Pedestrian Traffic ◽  
Parameter Relation

As the complex urban transportation network node,passenger transfer hub is the area of vary transport mode transforming and vary direction passenger flow assembling.Improve the service level and the transfer efficiency will increase the convenience, comfort and safety of the passenger transfer hub.Firstly,pedestrian traffic characteristics were analyzed in the hub based on the field experimental data.Secondly,pedestrian parameter relation models and relation curves of horizontal channel and stairs were established,and space parameter added at the same time.Finally,Applying Commuter software to simulate on Hohhot railway station for example and obtain some basic data related to pedestrian and vehicle equipment in order to provide certain support for evaluating the transfer efficiency-service level-operational management of the hub.

Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers

2021 ◽  
pp. 2150461
Author(s):  
Xiang Li ◽  
Yan Bai ◽  
Kaixiong Su
Keyword(s):  
Flow Control ◽  
Programming Model ◽  
Flow Characteristics ◽  
Service Level ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Control Measures ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

The increase of urban traffic demands has directly affected some large cities that are now dealing with more serious urban rail transit congestion. In order to ensure the travel efficiency of passengers and improve the service level of urban rail transit, we proposed a multi-line collaborative passenger flow control model for urban rail transit networks. The model constructed here is based on passenger flow characteristics and congestion propagation rules. Considering the passenger demand constraints, as well as section transport and station capacity constraints, a linear programming model is established with the aim of minimizing total delayed time of passengers and minimizing control intensities at each station. The network constructed by Line 2, Line 6 and Line 8 of the Beijing metro is the study case used in this research to analyze control stations, control durations and control intensities. The results show that the number of delayed passengers is significantly reduced and the average flow control ratio is relatively balanced at each station, which indicates that the model can effectively relieve congestion and provide quantitative references for urban rail transit operators to come up with new and more effective passenger flow control measures.

scholarly journals Modeling Influencing Factors for Passenger Flow Growth of Modern Trams Using System Dynamics Method

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Mao Ye ◽  
Ninghui Yang ◽  
Zhibin Li ◽  
Lingling Ma ◽  
Yajing Chen
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Early Stage ◽  
Land Development ◽  
Service Level ◽  
Study Data ◽  
Extreme Condition ◽  
Passenger Flow ◽  
Planning And Design

Modern trams have been widely used around the world, especially in China. This paper explores the main influencing factors of modern trams’ passenger flow at the early operational stage. The system dynamics model is adopted for dealing with the problem on hand. Tram Line 1 in Huai’an, Jiangsu Province, China is selected as the case study. Data are collected using the RP and SP survey. The sensitivity test and extreme condition test are performed. The simulation results demonstrate that four variables (i.e., land development intensity, fares, service level, and transfer efficiency) significantly affect passenger flow. Land development intensity is the most significant factor, and the effect of service level on passenger flow is higher than that of the fares. The departure interval of 10 minutes is the maximum psychological limit that passengers can bear, and 2 RMB is a reasonable price. Such conclusions can provide guidance for the planning and design of modern trams and address the problem of shortage of passengers at an early stage.

scholarly journals Bi-Level Optimization in a Transport Network

2015 ◽  
Vol 15 (5) ◽  
pp. 37-49 ◽  
Author(s):  
Todor Stoilov ◽  
Krasimira Stoilova ◽  
Markos Papageorgiou ◽  
Ioannis Papamichail
Keyword(s):  
Traffic Control ◽  
Optimization Problem ◽  
Transportation Network ◽  
Urban Transportation ◽  
Light Cycle ◽  
Constant Parameter ◽  
Optimal Solutions ◽  
Traffic Light ◽  
Control Space ◽  
Store And Forward

Abstract This paper applies a bi-level formalism for the optimal control of an urban transportation network. The well known store-and-forward model in traffic control is utilized in order to increase the control space of the optimization problem. Mainly, the store-and-forward models apply the split as a control argument, assuming the traffic light cycle as a constant parameter. The paper shows that by using a bi-level formalism the control problem can be defined within increased control space comprising both the split and the cycle. Both are found as optimal solutions of a bi-level optimization problem.

scholarly journals Review of Urban Transportation Network Design Problems Based on CiteSpace

2019 ◽  
Vol 2019 ◽  
pp. 1-22 ◽  
Author(s):  
Guo-Ling Jia ◽  
Rong-Guo Ma ◽  
Zhi-Hua Hu
Keyword(s):  
Mathematical Models ◽  
Network Design ◽  
Transportation Network ◽  
Urban Transportation ◽  
Design Problems ◽  
Future Directions ◽  
Comprehensive Review ◽  
Network Design Problems ◽  
The Future ◽  
Solution Methods

This paper provides a comprehensive review of urban transportation network design problems according to CiteSpace, including main problem classifications, mathematical models, and solution methods obtained from CiteSpace clusters. The review attempts to present the systematic picture of urban transportation network design and show the future directions of it.

scholarly journals Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mi Gan ◽  
Xinyuan Li ◽  
Fadong Zhang ◽  
Zhenggang He
Keyword(s):  
Network Design ◽  
Traffic Congestion ◽  
Design Problem ◽  
Transportation Network ◽  
Optimal Solution ◽  
Service Level ◽  
Initial Distribution ◽  
Urban Traffic ◽  
Logistics Network ◽  
Regional Logistics

Truck flow plays a vital role in urban traffic congestion and has a significant influence on cities. In this study, we develop a novel model for solving regional logistics network (RLN) design problems considering the traffic status of the background transportation network. The models determine not only the facility location, initial distribution planning, roadway construction, and expansion decisions but also offer an optimal solution to the logistics network service level and truck-type selections. We first analyze the relationship between the urban transportation network and the RLN design problem using real truck data and traffic flow status in a typical city. Then, we develop the uncover degree function (UDF), which reflects the service degree of the RLN and formulates based on an impedance function. Subsequently, the integrated logistics network design models are proposed. We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. This study contributes to the planning of regional logistics networks while mitigating traffic congestion caused by truck flow.

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