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A Study of Sustainable Transportation System in Ahmedabad and Delhi

This paper on sustainable urban transport attempts to overview an all-inclusive set of indicators which are taken up by planners, authorities in order to help cities for developing an integrated and sustainable transportation system. Developing countries like India, where unplanned urbanization and unparalleled growth in motorization have led to increased focus on sustainable use of mass transit systems like commuter rails and bus transportation. An integrated transportation strategy is most needed so that these modes of transport are integrated efficiently to facilitate the sustainable transportation. The vision of planners is to ensure easy access, safe, affordable, quick, comfortable, reliable and sustainable mobility for all sections of the society in our cities. The present transport system in most of the Indian cities is stressed under an urban environment which is made up of different sub-systems. Hence it is obvious to understand how these subsystems perform in order to have a sustainable mass-transit transportation network. The various modes of urban transportation – BRTS, Metro, Bicycle-sharing, usage of CNG fuels – currently available in the city of Ahmedabad and Delhi are discussed in the paper in the context of urban transport characteristics, public transport, and non-motorized transport. For promoting sustainable urban transport in a holistic manner it is equally important to understand the social, economic and environmental sustainability of each of these sub-systems.

Published by: Pankaj Sharma

Author: Pankaj Sharma

Paper ID: V3I6-1349

Paper Status: published

Published: December 5, 2017

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Research Paper

Energy Management in Indian Urban Transportation Sector – Issues and Challenges

The urban development in most of the Indian cities is the result of laissez-faire development with ribbon extension along the major arterials emerging out of the city core, the Central Business District (CBD). Work trips constitute the majority of the trips in urban areas and these are originating from residential locations to the work places most often called as the CBD areas. Work mean trip length and Passenger-Km are used as proxy to measure energy consumed in the transportation sector. Increase in spatial separation between the residential location and work places result in the long commuting distance and poor accessibility to the peripheral residential locations are encouraging more dependence on private and intermediate public transport. In this paper the problems associated with urban transport and the possible solutions are discussed. Also, the concept of Compact City as an attempt to integrated – land use-transportation is also presented.

Published by: Pankaj Sharma

Author: Pankaj Sharma

Paper ID: V3I6-1347

Paper Status: published

Published: December 5, 2017

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Research Paper

Experimental Investigation of Compressive Strength Properties of Eco-Friendly Concrete

The rapid Urbanization and Industrialization all over the world has resulted in the large deposition of Plastic waste and Waste Tyre Rubber. This waste can be utilized under the proper condition to reduce the Cement content in Concrete. M 30 concrete is used for most of the constructional works. The strength of these concrete results has compared with concrete obtained of Plastic waste and Waste Tyre Rubber varying from 0% to 20%. Experimental investigations comprised of testing physical requirements of Coarse Aggregates, Fine Aggregates, Cement and the modifier Waste Plastic and Waste Tyre rubber. M 30 concrete design mix considered as per IS 10262-1982. The said percentage of modifier was blended with the cement concrete mix and the optimum modifier content was found. Cubes and Cylinders were cast and tested for 28 days strength. These tests revealed that by adding Waste plastics and rubber as a partial replacement in Fine Aggregate and Coarse aggregate by volume, the strength of concrete decreased. The cube strength decreased as the percentage replacement increased due to their poor binding properties. By using Plastic waste and Waste Tyre Rubber as a modifier, we can reduce the quantity of coarse aggregate and fine aggregate by their volume, hence be decreasing the overall cost of construction. The modified cement concrete can be used in the construction of small drainage works and rigid pavement. Effective utilization of waste plastics can be done for a good cause of protecting the global environment and effective solid waste management.

Published by: B. Pujitha, N. Swathi, Sk. Jain Saheb

Author: B. Pujitha

Paper ID: V3I6-1357

Paper Status: published

Published: December 5, 2017

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Research Paper

Experimental and Numerical Study on Behavior of Externally Bonded RC T-Beams using GFRP Composites

Fiber-reinforced polymer (FRP) application is a very effective way to repair and strengthen structures that have become structurally weak over their lifespan. FRP repair systems provide an economically viable alternative to traditional repair systems and materials. In this study experimental investigation on the flexural behavior of RC T-beams strengthened using glass fiber reinforced polymer (GFRP) sheets are carried out. Reinforced concrete T beams externally bonded with GFRP sheets were tested to failure using a symmetrical two-point static loading system. Seven RC T-beams were cast for this experimental test. All of them were weak in flexure and were having same reinforcement detailing. One beam was used as a control beam and six beams were strengthened using different configurations of glass fiber reinforced polymer (GFRP) sheets. Experimental data on load, deflection and failure modes of each of the beams were obtained. The effect of different amount and configuration of GFRP on ultimate load carrying capacity and failure mode of the beams were investigated. The experimental results show that externally bonded GFRP can increase the flexural capacity of the beam significantly. In addition, the results indicated that the most effective configuration was the U-wrap GFRP. A series of comparative studies on deflection between the present experimental data and results from finite element method and IS code method were made. A future area of research is being outlined.

Published by: T. Kavitha, N. Swathi , Sk. Jain Saheb

Author: T. Kavitha

Paper ID: V3I6-1356

Paper Status: published

Published: December 5, 2017

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Research Paper

Proficient Mining and Suggestions In Online By Means Of User Behavior

The Web makes magnificent open doors for organizations to give customized online administrations to their clients. Recommender frameworks plan to naturally create customized proposals of items/administrations to clients (business or person). In spite of the fact that recommender frameworks have been very much examined, there are as yet two difficulties in the advancement of a recommender framework, especially in genuine B2B e-administrations. In Proposed a suggestion system using the quick dissemination and data sharing capacity of a substantial client arrange. This framework executed a GRS in light of sentiment elements that consider these connections utilizing a brilliant weights lattice to drive the process. In GRSs, a suggestion is generally figured by a straightforward total strategy for individual information the proposed technique [described as the client-driven recommender framework (CRS)] takes after the synergistic sifting (CF) standard, however, performs dispersed and nearby looks for comparative neighbors over a client organize with a specific end goal to produce a suggestion list.

Published by: R. Kavi Priya, P. Shanthi

Author: R. Kavi Priya

Paper ID: V3I6-1337

Paper Status: published

Published: December 5, 2017

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Research Paper

KNN- A Machine Learning Approach to Recognize a Musical Instrument

In this paper, the methodology used to recognize the musical instrument is summarized. To recognize musical instruments, there are two ways. They are training phase & testing phase. The details regarding the same is mentioned. Music Information Retrieval toolbox is used to extract features of the input signals. There are no. of ways classifiers available out of which we have used KNN- a machine learning approach.

Published by: Sushen R. Gulhane, Dr. Suresh D. Shirbahadurkar, Sanjay Badhe

Author: Sushen R. Gulhane

Paper ID: V3I6-1335

Paper Status: published

Published: December 5, 2017

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