scholarly journals Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

2021 ◽  
Author(s):  
Yingxia Shao ◽  
Hailin Jiang ◽  
Hongli Zhao
Keyword(s):  
Resource Management ◽  
Stackelberg Game ◽  
Radio Resource Management ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Radio Resource ◽  
Time Frequency ◽  
Management Algorithm ◽  
Urban Rail ◽  
Communication Modes

AbstractTrain-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist in future train-centric communication-based train control (CBTC) systems. The feasibility of T2T communication in urban rail transit is analyzed first. Referring to the device-to-device (D2D) communication scenario in the general cellular network, this paper establishes a radio resource optimization model for the coexistence of train-to-train communication and train-to-wayside communication. With the aim of more efficient scheduling of radio time-frequency resources in the dedicated frequency band, we propose a Stackelberg game-based radio resource management algorithm based on the consideration of different service priorities of trains. The analysis and simulation results show that the proposed algorithm can effectively guarantee the performance of the system and improve the reliability of the CBTC system.

scholarly journals Demand Analysis and Distribution of Single-Trip Ticket Cards for Urban Rail Transit

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zi-jia Wang ◽  
Jing-qi Li ◽  
Jiang-yue Wu ◽  
Zhi-gang Yang
Keyword(s):  
Urban Rail Transit ◽  
Distribution Model ◽  
Rail Transit ◽  
Effective Management ◽  
Transit Systems ◽  
Urban Rail ◽  
Usage Patterns ◽  
Subway System ◽  
Loading And Unloading ◽  
Hybrid Distribution

In the current urban rail transit systems, nearly 15% of passengers are noncommuter travelers who use single-trip ticket cards (ticket cards). Accordingly, the effective management of ticket cards is of great importance. This article suggests a time series model for use in predicting ticket card storage based on the characteristics of ticket cards collected by an automatic fare collection (AFC) system. The distribution cycle, station types, and distribution volume of each station are also determined. Then, drawing on small package transportation feasibility theory, an unbalanced distribution model between production and demand (unbalanced distribution model), as well as a hybrid distribution model of loading and unloading (hybrid distribution model), is established. Application of these models to the Beijing Subway system is used to verify the efficiency and feasibility of such a hybrid distribution model. The analysis and results offer insights into usage patterns of urban rail transit ticket cards, providing solid evidence for a relative decision-making process.

scholarly journals Assessing Protection Strategies for Urban Rail Transit Systems: A Case-Study on the Central London Underground

2019 ◽  
Vol 11 (22) ◽  
pp. 6322 ◽  
Author(s):  
Annunziata Esposito Amideo ◽  
Stefano Starita ◽  
Maria Paola Scaparra
Keyword(s):  
Path Length ◽  
Integrated Approach ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Sequential Approach ◽  
Transit Systems ◽  
Urban Rail ◽  
London Underground ◽  
Protection Strategies

Urban rail transit systems are highly prone to disruptions of various nature (e.g., accidental, environmental, man-made). Railway networks are deemed as critical infrastructures given that a service interruption can prompt adverse consequences on entire communities and lead to potential far-reaching effects. Hence, the identification of optimal strategies to mitigate the negative impact of disruptive events is paramount to increase railway systems’ resilience. In this paper, we investigate several protection strategies deriving from the application of either single asset vulnerability metrics or systemic optimization models. The contribution of this paper is threefold. Firstly, a single asset metric combining connectivity, path length and flow is defined, namely the Weighted Node Importance Evaluation Index (WI). Secondly, a novel bi-level multi-criteria optimisation model, called the Railway Fortification Problem (RFP), is introduced. RFP identifies protection strategies based on stations connectivity, path length, or travel demand, considered as either individual or combined objectives. Finally, two different protection strategy approaches are applied to a Central London Underground case study: a sequential approach based on single-asset metrics and an integrated approach based on RFP. Results indicate that the integrated approach outperforms the sequential approach and identifies more robust protection plans with respect to different vulnerability criteria.

Saving Energy and Improving Service Quality: Bicriteria Train Scheduling in Urban Rail Transit Systems

2016 ◽  
Vol 17 (12) ◽  
pp. 3364-3379 ◽  
Author(s):  
Yeran Huang ◽  
Lixing Yang ◽  
Tao Tang ◽  
Fang Cao ◽  
Ziyou Gao
Keyword(s):  
Service Quality ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Saving Energy ◽  
Transit Systems ◽  
Train Scheduling ◽  
Urban Rail

scholarly journals Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity

2015 ◽  
Vol 27 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Zhibin Jiang ◽  
Chao Xie ◽  
Tingting Ji ◽  
Xiaolei Zou
Keyword(s):  
Dwell Time ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Systems ◽  
Time Simulation ◽  
Urban Rail ◽  
Micro Simulation ◽  
Potential Benefits ◽  
Passenger Trains ◽  
First Time

Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.

scholarly journals Modified Maintenance Network Model for Urban Rail Transit Systems Based on the Variable Coverage Radius: Evidence from Changchun City in China

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yuan Jiang ◽  
Baofeng Sun ◽  
Lili Zheng ◽  
Wankun Cui ◽  
Xinhua Mao
Keyword(s):  
Urban Rail Transit ◽  
Set Covering ◽  
Rail Transit ◽  
Transit Systems ◽  
Theoretical Support ◽  
Urban Rail ◽  
Exploratory Stage ◽  
Changchun City ◽  
Different Populations ◽  
Covering Model

Network-wide maintenance lacks strong theoretical support and practical cases. However, research on this topic has entered an extensive exploratory stage; for example, new network design methods are being sought, and successful practices from traditional maintenance by line and by profession are being incorporated. This paper proposes a novel set-covering model with the variable coverage radius for the maintenance network of urban rail transit systems in the context of network-wide maintenance. The concepts of network-wide maintenance follow principles that are similar to those of bio-geography-based optimization (BBO), i.e., patterns of migration, variation, and extinction of different populations in different habitats. Therefore, a BBO algorithm is implemented with combinatorial optimization programming. Experiments from Changchun city in China show that the proposed model and algorithm are effective in fulfilling network-wide requirements through a direct tradeoff between the coverage radius and maintenance response time. In addition, the maintenance capacity and variable coverage radius of each maintenance point influence both the maintenance timeliness and resource utilization of maintenance units.

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