Numerical Analysis of Tunnel Support System at Pune Metro

Author(s):  
Saurabh B. Yele

Pune has witnessed enormous industrial growth, rapid urbanization in the recent past and has put the city's travel infrastructure to stress. Being a densely populated area, Pune's traffic needs cannot be met by road-based transportation systems and additional flyovers. Considering this, the Pune Metro project a strong public transport system partly elevated, and partly underground Line 1 and the completely elevated Line 2 has been discussed and undertaken by Maha Metro Rail Corporation. With the rise in demand, the responsibility for a safe and efficient public transport system also increases hence proper planning, designing, and execution play a vital role. The underground tunnel stretch of the Pune Metro Line 1 project is carried out by TBM and by segmental lining as a support system. By geotechnical parameters and FEM, RS2 software author analyses the ground behaviour and support system and conveys a basic understanding of ground behaviour and results in guidelines for designing the underground tunnel.

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1501
Author(s):  
Juan Ruiz-Rosero ◽  
Gustavo Ramirez-Gonzalez ◽  
Rahul Khanna

There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.


2021 ◽  
Vol 12 (1) ◽  
pp. 46
Author(s):  
Charmaine Samala Guno ◽  
Angelie Azcuna Collera ◽  
Casper Boongaling Agaton

Electrification of public utility vehicles plays a vital role in the transition towards a more sustainable transport system. However, the adoption of electric vehicles (EVs) encounters varying challenges ranging from financing issues, government policies, and public acceptance. Using the Philippines as a case, this research applies political, economic, social, technological, legal, and environmental (PESTLE) analysis to determine how different drivers affect the adoption of EVs in the public transport system from various transport stakeholders’ vantage points. Survey results identified economic and technological factors as the main barriers to the adoption of electric public transport. This includes high investment and operational costs, lack of charging infrastructure, issues in driving range and use in different terrains, and the availability of EV parts and repair stations. On the other hand, the main enabler is the significant public support for the modernization of the public transport system through EVs, backed up by policy and legal drivers. For a zero-emission public transport system, this study recommends that the government should invest in sustainable sources of energy, develop more public infrastructure, diversify the transport sector, fund the development of locally made EVs, and initiate a massive information campaign in educating the public of its advantages.


2019 ◽  
Vol 13 (2) ◽  
pp. 247-253
Author(s):  
Juan Camilo Conto-Campis ◽  
Jessica Marlen Ortiz-Guzmán ◽  
Ivonne Angélica Castiblanco-Jiménez ◽  
Johan Enrique Ortiz-Guzmán

It is given that in Bogotá public transport system moves approximately 29.18% of the population, it is essential to ensure that the features of the service provision are the most appropriate for its users; for example, the support bars inside the vehicle are not at an adequate height according to the physical characteristics of the users, generating risks within the vehicles. Due to this failure has not been resolved in its entirety by the service provider is important to implement a method that allows adequate grip to the fasteners, considering this, the project aims to develop a system of grip and support that reduces the risks of physical damage to the user during his trip. This system will allow users who are in the orthostatic position (standing) to anchor themselves in a simple way of the elements incorporated in the vehicle. The development process was carried out using a combination of the Ulrich and Schnarch methodologies


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.


2021 ◽  
pp. 0308518X2110271
Author(s):  
Yao Shen ◽  
Yiyi Xu ◽  
Zhuoya Huang

As an extension of public space, the public transport system in modern society is an arena for cross-group interactions. Uncovering social segregation in public transport space is an essential step in shaping a socially sustainable transport system. Based on 2011 origin–destination flow data for London, we simulate the working flows between each pair of connected tube stations for every occupation with minimised transfer times and travelling hours and calculate the multi-occupation segregation index for all tube stations and segments. This segregation index captures the density and diversity aspects of the working population. The results demonstrate that segregation levels vary significantly across stations, lines, and segments. Transfer stations and tube segments in the city centre do not necessarily have lower levels of segregation. Those stations or segments close to a terminus can also be socially inclusive, e.g., Heathrow. Victoria is the line with the lowest levels of segregation, and Green Park is the most socially inclusive station during commuting peaks. The proposed mapping approach demonstrates the spatial complexity in the social performance of the public transport system and provides a tool for implementing relevant policy with improved precision.


2021 ◽  
Vol 13 (6) ◽  
pp. 3440
Author(s):  
Michał Baran ◽  
Duszan Józef Augustyn

The phenomenon of social exclusion caused by transport exclusion is one of the main causes of social problems in peripheral areas, as well as a major organizational challenge for public service providers and all organizations operating in the areas where this problem occurs. Transport exclusion has a negative impact on the dynamics of socioeconomic processes and may interfere with sustainable development plans of stakeholders operating in a given area. The phenomenon is characterized by particular intensity in peripheral border localities with a low population density and outdated public transport system (established in the past to meet the needs of industrial society). The aim of this analysis is to present the basic principles of a conceptual model that combines the estimation of the scale of the transport exclusion phenomenon (in accordance with the specificity of peripheral border areas) with the idea of institutionalized carpooling based on effective information management. The usefulness of the said model underwent verification with respect to the possibility of estimating the scale of transport exclusion in peripheral border areas based on the example of the Polish–Slovak border area (Lesko Commune and Snina District). During the course of the research, factors characterizing the currently functioning public transport system were also indicated. They proved the system’s inadequacy for the challenges faced by the post-industrial society.


1987 ◽  
Vol 20 (3) ◽  
pp. 95-100
Author(s):  
P. Michelberger ◽  
L. Lesley ◽  
P. Varlaki

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