scholarly journals Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data

2021 ◽  
Vol 2021 ◽  
pp. 1-15 ◽  
Author(s):  
Baichuan Mo ◽  
Zhenliang Ma ◽  
Haris N. Koutsopoulos ◽  
Jinhua Zhao
Keyword(s):  
Large Scale ◽  
Simulation Models ◽  
Ground Truth ◽  
Response Surfaces ◽  
Urban Rail Transit ◽  
Movement Data ◽  
Rail Systems ◽  
Urban Rail ◽  
Important Input ◽  
Sensitivity Data

Transit network simulation models are often used for performance and retrospective analysis of urban rail systems, taking advantage of the availability of extensive automated fare collection (AFC) and automated vehicle location (AVL) data. Important inputs to such models, in addition to origin-destination flows, include passenger path choices and train capacity. Train capacity, which has often been overlooked in the literature, is an important input that exhibits a lot of variabilities. The paper proposes a simulation-based optimization (SBO) framework to simultaneously calibrate path choices and train capacity for urban rail systems using AFC and AVL data. The calibration is formulated as an optimization problem with a black-box objective function. Seven algorithms from four branches of SBO solving methods are evaluated. The algorithms are evaluated using an experimental design that includes five scenarios, representing different degrees of path choice randomness and crowding sensitivity. Data from the Hong Kong Mass Transit Railway (MTR) system is used as a case study. The data is used to generate synthetic observations used as “ground truth.” The results show that the response surface methods (particularly constrained optimization using response surfaces) have consistently good performance under all scenarios. The proposed approach drives large-scale simulation applications for monitoring and planning.

Research on Hyperpaths in the Urban Rail Transit Network

2014 ◽  
Vol 488-489 ◽  
pp. 1439-1443
Author(s):  
Jin Hai Li ◽  
Jian Feng Liu
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Travel Costs ◽  
Urban Rail ◽  
Distinctive Structure ◽  
Feasible Path ◽  
Definition Of ◽  
Urban Rail Transit Network

Hyperpaths enumeration is one of the basic procedures in many traffic planning issues. As a result of its distinctive structure, hyperpaths in Urban Rail Transit Network (URTN) are different from those in road network. Typically, one may never visit a station more than once and would never transfer from one line to another that has been visited in a loopless URTN, meaning that stations a hyperpath traversed cannot be repeated, neither do lines in loopless networks. This paper studies the relationships between feasible path and the shortest path in terms of travel costs. In this paper, a new definition of hyperpath in URTN is proposed and a new algorithm based on the breadth first searching (BFS) method is presented to enumerate the hyperpaths. The algorithm can safely avoid hyperpath omission and can even be applied in networks containing loops as well. The influence of parameters on hyperpaths is studied by experimentally finding hyperpaths in the subway network in Beijing. A group of suggested parameter pairs are then given. Finally, a numerical experiment is used to illustrate the validity of the proposed algorithm. The results imply the significance of the convergence of the BFS algorithm which can be used to search hyperpaths in large scale URTN even with loop.

scholarly journals Quantifying the effects of passenger-level heterogeneity on transit journey times

2020 ◽  
Vol 1 ◽  
Author(s):  
Ramandeep Singh ◽  
Daniel J. Graham ◽  
Richard J. Anderson
Keyword(s):  
Large Scale ◽  
Semiparametric Regression ◽  
Related Factors ◽  
Network Characteristics ◽  
Journey Time ◽  
Time Variance ◽  
Assignment Algorithm ◽  
Rail Systems ◽  
Urban Rail ◽  
Potential Applications

Abstract In this paper, we apply flexible data-driven analysis methods on large-scale mass transit data to identify areas for improvement in the engineering and operation of urban rail systems. Specifically, we use data from automated fare collection (AFC) and automated vehicle location (AVL) systems to obtain a more precise characterisation of the drivers of journey time variance on the London Underground, and thus an improved understanding of delay. Total journey times are decomposed via a probabilistic assignment algorithm, and semiparametric regression is undertaken to disentangle the effects of passenger-specific travel characteristics from network-related factors. For total journey times, we find that network characteristics, primarily train speeds and headways, represent the majority of journey time variance. However, within the typically twice as onerous access and egress time components, passenger-level heterogeneity is more influential. On average, we find that intra-passenger heterogeneity represents 6% and 19% of variance in access and egress times, respectively, and that inter-passenger effects have a similar or greater degree of influence than static network characteristics. The analysis shows that while network-specific characteristics are the primary drivers of journey time variance in absolute terms, a nontrivial proportion of passenger-perceived variance would be influenced by passenger-specific characteristics. The findings have potential applications related to improving the understanding of passenger movements within stations, for example, the analysis can be used to assess the relative way-finding complexity of stations, which can in turn guide transit operators in the targeting of potential interventions.

Urban Rail Development in China

2012 ◽  
Vol 2275 (1) ◽  
pp. 49-57 ◽  
Author(s):  
Andrew Salzberg ◽  
Shomik Mehndiratta ◽  
Zhi Liu
Keyword(s):  
Large Scale ◽  
Economic Benefits ◽  
Urban Transport ◽  
Transit Oriented Development ◽  
Rail Systems ◽  
Urban Rail ◽  
Analytical Work ◽  
Metro Systems ◽  
The City

This paper provides an overview of the recent development of urban rail systems in Chinese cites and the challenges ahead. China is set to become the world leader in length of metro lines in operation in the near to medium term. In view of the large scale of this investment, a focus on the overall economic and financial viability of these systems is needed. On the basis of analytical work supporting a project investment in the city of Kunming and a study tour of urban rail systems in China, this paper highlights four areas believed to be crucial in meeting these objectives: integration of new metro systems with existing systems of public transport, a supportive overall urban transport policy, transit-oriented development, and long-term financial sustainability. The conclusion is that in all of these areas, China possesses tools that may enable the program to succeed if they are used effectively and in concert. Any issues appear to result from a lack of attention to these four areas and from a managerial focus on ensuring the completion of the construction program above all other concerns. The RMB 1 trillion investment in urban rail construction under way in China needs to be a catalyst for joint action on the issues identified in this paper (RMB 1 is approximately US$0.15). Otherwise, Chinese cities may be left with an investment that carries large long-term costs and does not deliver the crucial economic benefits expected.

scholarly journals Operation Performance Evaluation of Urban Rail Transit PPP Projects: Based on Best Worst Method and Large-Scale Group Evaluation Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Cong Li ◽  
Xinyuan Zhang
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Large Scale ◽  
Project Performance ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Operation Performance ◽  
Group Evaluation ◽  
Urban Rail ◽  
Best Worst Method

Urban rail transit project is a kind of typical operating public project. Adopting the PPP model can alleviate local financial pressure and improve capital use efficiency. However, many existing urban rail transit PPP projects have fallen into the dilemma of cost overrun, schedule delay, and poor product quality. The lack of reasonable project performance evaluation is considered as an important cause. This research first clarifies the meaning and characteristics of project performance evaluation by comparing and analyzing several basic concepts and relationships. Secondly, an operation performance evaluation system based on urban rail transit PPP project of a three party is constructed from a multistakeholder perspective. Finally, the best worst method and large-scale group evaluation technology are used based on the comparison of multistakeholder evaluation application scenarios and evaluation methods. A quantitative model is constructed to evaluate the operating performance of urban rail transit PPP projects and is tested and explained by a specific case study. Most current studies generally focus on the earlier stage of project performance, and this article mainly discusses and researches the operation performance of PPP projects. There, suggestions are provided for the operation performance evaluation theory and urban rail transit PPP project practices. This article focuses on the operation performance evaluation of PPP projects.

scholarly journals Dynamic Disruption Simulation in Large-Scale Urban Rail Transit Systems

2019 ◽  
pp. 129-140
Author(s):  
Steffen O. P. Blume ◽  
Michel-Alexandre Cardin ◽  
Giovanni Sansavini
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Systems ◽  
Urban Rail

scholarly journals Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

2016 ◽  
Author(s):  
Long Gao ◽  
Limin Jia
Keyword(s):  
Traffic Safety ◽  
Flow Distribution ◽  
Simulation Models ◽  
Performance Comparison ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Main Mode ◽  
Dynamic Variation ◽  
Passenger Flow ◽  
Urban Rail

Urban rail transit has become the main mode to ease traffic congestion. Researches on the dynamic variation regularity of passenger flow distribution and passenger flow volume of urban rail transit hub platform have important implication in hub capacity design, operation organization and risk prevention. This paper proposes a passenger flow distribution integrating model (PFDIM) based on the basic theory analysis and basic parameter models of passenger flow distribution in hub platform. Simulation designs of PFDIM are built with Java and Anylogic, which contain simulation system functional framework, implementation path, simulation processes and simulation models. By case study, the performance comparison between two simulation methods indicates that simulation designs are scientific and accordant with the reality scene; calculation results prove that PFDIM has a good performance on describing the dynamic variation regularity of passenger flow distribution. Moreover, the experiments with different departure intervals could provide the reference for train scheduling under the viewpoint of traffic safety and service level.

Identifying Subway Passenger Flow under Large-Scale Events Using Symbolic Aggregate Approximation Algorithm

2021 ◽  
pp. 036119812110478
Author(s):  
Hainan Huang ◽  
Rongjie Zhang ◽  
Chengguang Xie ◽  
Xiaofeng Li
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Sporting Events ◽  
Transit Systems ◽  
Symbolic Aggregate Approximation ◽  
Social Events ◽  
Urban Rail ◽  
Subway System ◽  
Passenger Flows ◽  
Dynamic Time

Various social events, such as holidays, important sporting events, and major celebrations, may result in sudden large-scale passenger flows in certain sections and stations of urban rail transit systems. The sudden inbound passenger flows caused by these events can easily lead to continuous congestion of the subway network, which has a profound impact on the safety, reliability, and stability of a subway system. Because of the large magnitude of swipe data and the high dimensionality of time series, it is difficult to identify the emergence of such large passenger flows. Additionally, the recognition accuracy of the existing identification methods cannot meet the operational monitoring requirements. To address the above-mentioned issues, this paper proposes an optimized symbolic aggregate approximation (SAX) algorithm to identify historical sudden passenger flows caused by large-scale events around subways. Specifically, pre-set cluster types and dynamic time warping (DTW) are proposed to enhance the matching rate. Compared with the K-means method, the proposed method exhibits an average increase of 30% in mining accuracy, and the calculation time is shortened to one-sixteenth of the original value.

Assessment Method for Dynamic Impact of Large Passenger Flow on Urban Rail Transit Network: A Case Study on Chengdu East Railway Station

2021 ◽  
pp. 036119812110584
Author(s):  
Ruihua Xu ◽  
Xuyang Song ◽  
Fangsheng Wang ◽  
Feng Zhou
Keyword(s):  
Radionuclide Imaging ◽  
Large Scale ◽  
Clinical Medicine ◽  
Propagation Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Railway Station ◽  
Passenger Flow ◽  
Urban Rail ◽  
The Impact

Large-scale activities, holidays, and emergencies often cause a significantly large burst of passenger flow demand in some urban rail transit (URT) stations in a short time, called large passenger flow (LPF). The LPF will propagate through the entire URT network of the city. The impact of the frequent occurrence of LPF on network service levels is crucial and unpredictable. This article describes an analysis of how this LPF propagates through the entire network inspired by how radionuclide imaging is done in clinical medicine. In this study, with LPF of URT as the research object, a propagation model of LPF in URT based on AFC data, train operation data, and URT network topology data was developed, which was inspired by the concept of radionuclide imaging in clinical medicine. In the condition of obtaining the list of passenger route selection ratios, the dynamic propagation state matrix of the LPF in the network is solved. The contribution value matrix of the LPF was proposed to evaluate the impact of the LPF on the URT network. Considering the LPF in Chengdu East Railway Station, China, as an example, the propagation effect of LPF in the Chengdu Metro network was analyzed, and the effectiveness of the proposed model was confirmed.

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