Passenger Boarding/Alighting Management in Urban Rail Transportation

2012 ◽  
Author(s):  
Sonia Baee ◽  
Farshad Eshghi ◽  
S. Mehdi Hashemi ◽  
Rayehe Moienfar
Keyword(s):  
Travel Time ◽  
System Performance ◽  
Heavy Traffic ◽  
System Capacity ◽  
Rapid Decline ◽  
Rail Transportation ◽  
Satisfaction Level ◽  
Urban Rail ◽  
Subway System ◽  
Measures Of Performance

Heavy traffic consequences in crowded cities can be extremely reduced by using mass transportation. Recent extensive studies on Tehran subway system, as a representative of crowded cities, show that ever increasing commutation demand results in rapid decline in service quality and satisfaction level, system capacity wastage, and poorer system performance. Since passenger boarding/alighting period is noticeable compared to the inter-station travel time, it seems that passenger boarding/alighting management would play a significant role in system performance improvement. Aiming at increasing satisfaction level and service success rate, while reducing travel time, different boarding/alighting strategies are proposed. Passengers behaviors are carefully simulated based on a microscopic model, through introducing an inclination function which governs a passengers movement in a two-dimensional queue. Simulation results, in terms of three aforementioned measures of performance, show that in less crowded stations, the first strategy, expectedly, outperforms the other two. However, in crowded stations (e.g. interchange stations) the third strategy outperforms the others significantly.

scholarly journals A Comparison into the Factors Affecting Urban Rail Systems: Local, Express, and High-Speed Rail in Tunnels at a Great Depth in a Metropolitan Area

2021 ◽  
Vol 13 (17) ◽  
pp. 9527
Author(s):  
Kyujin Lee ◽  
Woojin Kim ◽  
Junghan Baek ◽  
Junghwa Kim
Keyword(s):  
Travel Time ◽  
Metropolitan Area ◽  
High Speed ◽  
Choice Behavior ◽  
Metropolitan Areas ◽  
Great Depth ◽  
Access Time ◽  
Rail Transportation ◽  
High Speed Rail ◽  
Urban Rail

In this study, the factors influencing the choice of the type of urban railroad transportation in the metropolitan areas of Korea were analyzed. As the populations of metropolitan areas are expanding, the importance of rail transportation, which has a high travel reliability in terms of travel time, has increased, and various types of railroad systems have emerged accordingly. This study was focused on the choice behavior of travelers on local and express trains that use the same track and differ only in the number of stations and operating times. To compare the choice behavior of travelers between local and express trains, factors such as the waiting time on the platform and the in-car travel time were considered. We also investigated the system choice behavior for an existing express subway and high-speed rail trains in tunnels at a great depth in terms of horizontal access time (walking), vertical access time, in-vehicle travel time, and travel fare. For a high-speed rail built underground at a great depth of 50 m, the stated preference survey was designed, and data were collected in consideration of the Great Train Express being promoted in the Seoul metropolitan area by the Korean government. The results of this study are expected to be considered important data for improving the rail system design from the user’s perspective to increase the demand for urban rail transportation in metropolitan areas.

The Vulnerability Analysis of Subway System

2014 ◽  
Vol 641-642 ◽  
pp. 741-744
Author(s):  
Qing Lin ◽  
Shou Xin Song
Keyword(s):  
Rapid Development ◽  
Vulnerability Analysis ◽  
Rail Transportation ◽  
Urban Rail ◽  
Subway System

In order to ease the tremendous pressure of traffic caused by the rapid development of urbanization, the rapid development of urban rail transportation is of great significance. This paper will explain what is vulnerability of subway system, and the meaning of doing this research. Meanwhile, it also includes to analyze factors which influencing the vulnerability.

Assessment of Arterial Signal Timings Based on Various Operational Policies and Optimization Tools

2021 ◽  
pp. 036119812110111
Author(s):  
Suhaib Al Shayeb ◽  
Nemanja Dobrota ◽  
Aleksandar Stevanovic ◽  
Nikola Mitrovic
Keyword(s):  
Travel Time ◽  
Heavy Traffic ◽  
Future Research ◽  
Signal Timing ◽  
Highway Capacity ◽  
Average Delay ◽  
Highway Capacity Manual ◽  
Simulation And Optimization ◽  
Fort Lauderdale ◽  
Design Engineers

Traffic simulation and optimization tools are classified, according to their practical applicability, into two main categories: theoretical and practical. The performance of the optimized signal timing derived by any tool is influenced by how calculations are executed in the particular tool. Highway Capacity Software (HCS) and Vistro implement the procedures defined in the Highway Capacity Manual, thus they are essentially utilized by traffic operations and design engineers. Considering its capability of timing diagram drafting and travel time collection studies, Tru-Traffic is more commonly used by practitioners. All these programs have different built-in objective function(s) to develop optimized signal plans for intersections. In this study, the performance of the optimal signal timing plans developed by HCS, Tru-Traffic, and Vistro are evaluated and compared by using the microsimulation software Vissim. A real-world urban arterial with 20 intersections and heavy traffic in Fort Lauderdale, Florida served as the testbed. To eliminate any bias in the comparisons, all experiments were performed under identical geometric and traffic conditions, coded in each tool. The evaluation of the optimized plans was conducted based on average delay, number of stops, performance index, travel time, and percentage of arrivals on green. Results indicated that although timings developed in HCS reduced delay, they drastically increased number of stops. Tru-Traffic signal timings, when only offsets are optimized, performed better than timings developed by all of the other tools. Finally, Vistro increased arrivals on green, but it also increased delay. Optimized signal plans were transferred manually from optimization tools to Vissim. Therefore, future research should find methods for automatically transferring optimized plans to Vissim.

scholarly journals Overview of Anti-Seismic Researches of Underground Structures

2018 ◽  
Vol 38 ◽  
pp. 03038
Author(s):  
Ran Liao
Keyword(s):  
Research Methods ◽  
Underground Structure ◽  
Seismic Damage ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Underground Structures ◽  
Transit System ◽  
Urban Rail ◽  
Subway System ◽  
Metro System

With the vigorous development of urban rail transit system, especially the construction of subway system, the safety of subway system draws more and more attention. The study of anti-seismic for underground structures has also become an important problem to be solved in the construction of Metro system. Based on the typical underground structure seismic damage phenomenon, this paper summarizes the seismic characteristics, research methods and design methods of underground structures to offer a guide for engineers.

scholarly journals Stop Plan of Express and Local Train for Regional Rail Transit Line

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qin Luo ◽  
Yufei Hou ◽  
Wei Li ◽  
Xiongfei Zhang
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Programming Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Long Distance ◽  
Passenger Travel ◽  
Urban Rail ◽  
Proposed Model ◽  
Rail Line

The urban rail transit line operating in the express and local train mode can solve the problem of disequilibrium passenger flow and space and meet the rapid arrival demand of long-distance passengers. In this paper, the Logit model is used to analyze the behavior of passengers choosing trains by considering the sensitivity of travel time and travel distance. Then, based on the composition of passenger travel time, an integer programming model for train stop scheme, aimed at minimizing the total passenger travel time, is proposed. Finally, combined with a certain regional rail line in Shenzhen, the plan is solved by genetic algorithm and evaluated through the time benefit, carrying capacity, and energy consumption efficiency. The simulation result shows that although the capacity is reduced by 6 trains, the optimized travel time per person is 10.34 min, and the energy consumption is saved by about 16%, which proves that the proposed model is efficient and feasible.

Planning from the Bottom Up

Last Subway ◽  
2020 ◽  
pp. 124-156
Author(s):  
Philip Mark Plotch
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
System Capacity ◽  
Bottom Up ◽  
Early Stages ◽  
System Increase ◽  
Subway System ◽  
Rail Service

This chapter recounts how New York City Transit Authority rail service planners Peter Cafiero, Chuck Kirchner, Glenn Lunden, and Jon Melnick resurrected the Second Avenue subway in 1988. Even though the Transit Authority was in the early stages of its 1987–91 capital program, the planners' bosses wanted to start getting ready for the next program, which would run from 1992 to 1996. The first step would be to create a document that assessed the authority's long-term needs and identified projects that would rehabilitate the subway system, increase ridership, improve productivity, and expand system capacity. One proposal the planners wrote to address the Lexington Avenue's problems was an idea that the MTA planner Bob Olmsted had first championed in 1975—a Second Avenue subway north of 63rd Street. As the Second Avenue subway proposal moved up the Transit Authority hierarchy, the authority's president, David Gunn, agreed that the time was right to begin thinking about expanding the subway system. Before he could devote significant resources to advancing the Second Avenue subway, however, it would have to compete with other potential megaprojects under discussion at the MTA's agencies.

Discovering the evolution of Beijing Rail Network in fifty years

2020 ◽  
Vol 34 (21) ◽  
pp. 2050212
Author(s):  
Zijia Wang ◽  
Jingqi Li ◽  
Liping Huang ◽  
Zhigang Yang
Keyword(s):  
Pearson Correlation ◽  
Service Level ◽  
Urban Rail Transit ◽  
Transit Network ◽  
Rail Network ◽  
Topological Evolution ◽  
Topological Network ◽  
Urban Rail ◽  
Subway System ◽  
One Year

Urban rail transit (URT) system plays a significant role in daily commuting. The main features of URT could be abstracted into two kinds of networks, topological network and transit network. The correlation between topological network and transit network could represent the service level of transportation which is also a main focus to some extent. In this study, static analysis based on one year or single analysis based on one aspect are abundant, the main reason of which is the deficiency of the consistent demand data. In this regard, a comprehensive analysis of the evolution and their correlation of the two network are carried out in this work. We first revisit the topological evolution of rail network on the basis of URT network statistic indicators with a fifty-year time span. Then, based on the traditional node-place model, a correctional node-place model between demand spatial distribution and closeness centrality is established. Pearson correlation coefficient is also employed for a precise analysis. Finally, the application of the model and the corresponding analysis on Beijing Subway System (BSS) examine and evaluate the development level and service level of URT system in Beijing, and some solid evidence for relative decision-making is provided.

Urban Rail Transport Coordination Based on Travel Time Cost

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Haochuan Yu ◽  
Zhongyi Zuo ◽  
Yi Cao
Keyword(s):  
Travel Time ◽  
Rail Transport ◽  
Time Cost ◽  
Urban Rail
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