scholarly journals Transit-Based Evacuation for Urban Rail Transit Line Emergency

2020 ◽  
Vol 12 (9) ◽  
pp. 3919 ◽  
Author(s):  
Bowen Hou ◽  
Yang Cao ◽  
Dongye Lv ◽  
Shuzhi Zhao
Keyword(s):  
Optimization Model ◽  
Control Method ◽  
Time Window ◽  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Disruption Management ◽  
Rail Transit ◽  
Urban Transit ◽  
Transit Systems ◽  
Urban Rail

Urban rail systems are the backbone of urban transit networks and are characterized by large passenger volumes, high speeds, punctuality, and low environmental impacts. However, unforeseen events such as rail transit line emergencies can lead to unexpected costs and delays. As a means of disruption management, we divide the decision support system for urban rail transit line emergency situations into two stages—transit-based evacuation and bus bridging management. This paper focuses on the transit-based evacuation under emergency scenarios on a single rail line. The model determines the vehicles and routes within traditional transit systems required to evacuate stranded passengers within a given time window. In addition, the proposed method ensures the reliability of traditional transit systems by considering the operating fleet and reserve fleet in the traditional transit systems. Therefore, the proposed optimization model is established with the objective of maximizing the total number of stranded passengers transferred within the given time window and headway constraint. Herein, we present the optimization model and solution method, and the proposed method is validated. The effectiveness of the proposed control method is evaluated in the Changchun urban transit network. By analyzing stranded passengers at stations under different numbers of vehicles and time periods, the results show that the proposed model can significantly provide routing arrangements to maximize the number of passengers evacuated from stations. The results are useful in the development of emergency evacuation plans to prevent secondary accidents and evacuate stranded passengers during a rail transit line emergency.

Disruption Management in Urban Rail Transit System

2018 ◽  
pp. 18-48
Author(s):  
Erfan Hassannayebi ◽  
Arman Sajedinejad ◽  
Soheil Mardani
Keyword(s):  
Waiting Time ◽  
Recovery Time ◽  
Control Strategies ◽  
Discrete Event ◽  
Urban Rail Transit ◽  
Disruption Management ◽  
Rail Transit ◽  
Transit Systems ◽  
Urban Rail ◽  
Proposed Model

The process of disruption management in rail transit systems faces challenging issues such as the unpredictable occurrence time, the consequences and the uncertain duration of disturbance or recovery time. The objective of this chapter is to adopt a discrete-event object-oriented simulation system, which applies the optimization algorithms in order to compensate the system performance after disruption. A line blockage disruption is investigated. The uncertainty associated with blockage recovery time is considered with several probabilistic scenarios. The disruption management model presented here combines short-turning and station-skipping control strategies with the objective to decrease the average passengers' waiting time. A variable neighborhood search (VNS) algorithm is proposed to minimize the average waiting time. The computational experiments on real instances derived from Tehran Metropolitan Railway are applied in the proposed model and the advantages of the implementing the optimized single and combined short-turning and stop-skipping strategies are listed.

Disruption Management in Urban Rail Transit System

2016 ◽  
pp. 420-450 ◽  
Author(s):  
Erfan Hassannayebi ◽  
Arman Sajedinejad ◽  
Soheil Mardani
Keyword(s):  
Waiting Time ◽  
Recovery Time ◽  
Control Strategies ◽  
Discrete Event ◽  
Urban Rail Transit ◽  
Disruption Management ◽  
Rail Transit ◽  
Transit Systems ◽  
Urban Rail ◽  
Proposed Model

The process of disruption management in rail transit systems faces challenging issues such as the unpredictable occurrence time, the consequences and the uncertain duration of disturbance or recovery time. The objective of this chapter is to adopt a discrete-event object-oriented simulation system, which applies the optimization algorithms in order to compensate the system performance after disruption. A line blockage disruption is investigated. The uncertainty associated with blockage recovery time is considered with several probabilistic scenarios. The disruption management model presented here combines short-turning and station-skipping control strategies with the objective to decrease the average passengers' waiting time. A variable neighborhood search (VNS) algorithm is proposed to minimize the average waiting time. The computational experiments on real instances derived from Tehran Metropolitan Railway are applied in the proposed model and the advantages of the implementing the optimized single and combined short-turning and stop-skipping strategies are listed.

Operation Organization at Urban Rail Transit Station under Large Passenger Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang
Keyword(s):  
Transport Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Common Condition ◽  
Urban Transit ◽  
Passenger Flow ◽  
Operation Process ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation

large passenger flow is a common condition of urban transit operation, and the station bears the pressure of large passenger flow directly. This paper analyzes the reason for the appearance of large passenger flow and the characteristics of it, discusses the principles and methods that the station can apply under large passenger flow combined with the passenger’s transport process and the operation process.

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.

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