Models And Algorithms For A Rail Transit Line Alignment Using Gis And Genetic Algorithm
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Models And Algorithms For A Rail Transit Line Alignment Using Gis And Genetic Algorithm
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Author : Sutapa Samanta
language : en
Publisher:
Release Date : 2008
Models And Algorithms For A Rail Transit Line Alignment Using Gis And Genetic Algorithm written by Sutapa Samanta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Civil engineering categories.
The increase in commuting populations and transit ridership in urban areas has given rise to the need for building new transit lines or extending existing ones. The objective of this dissertation research is to perform a microscopic analysis and develop models and algorithms for a rail transit alignment using Geographical Information System (GIS) and Genetic Algorithm (GA) in a given study corridor. Previous research suggests that several analytical methods have been developed to design various components of a transit system, such as optimization of station spacings, route spacing, and route length for rail transit alignments. While all this research has contributed substantially towards the development of a transit system, the applicability of these theoretical models remains limited for real-world problems. The present research aims to perform a microscopic analysis in a given study corridor to obtain the locations and sequence of stations considering many-to-one travel pattern, variable demand for transit, identification of feasible locations for stations and optimization of various objective functions for station locations for an optimal rail transit alignment through GIS-GA integration. An optimization algorithm is developed for optimizing station locations for three types of rail transit systems, namely (1) an on-the-ground rail transit system; (2) an underground cut and cover rail transit system, and (3) an underground deep tunnel rail transit system. The algorithm is developed in two stages. In the first stage, the search space is defined by identifying the potential station locations using a GIS and in the second stage a GA is applied to perform the optimal search. The optimization model for station location is developed using several objective functions of demand and cost as both influence the optimal rail transit alignment. The first objective is to minimize the total system cost per person, which is a function of user cost, operator cost, location cost and variable demand. A bilevel optimization model is introduced for the station location optimization problem. In this model a number of clusters of riders are determined from local population data at the lower level in order to estimate demand and optimize the objective functions at the upper level. The second objective is to maximize the ridership or the service coverage. The user cost per person is minimized separately as the third objective because the user cost is one of the most important decision-making factors for using the transit system. A decision can be made based on the preferred parameters by a transit-planner based on the results obtained using different objective functions. A variable demand case is considered in the research which replicates a realistic scenario that can be expected while planning a rail transit line Optimal solutions are obtained by running an iterative process of re-estimating the variable transit demand by varying the locations and sequence of stations, which results in change in travel time and potential transit demand. Once the optimal station locations are obtained, the stations are interconnected using a suitable rail line alignment. This is done by connecting each pair of stations using a GIS and GA based algorithm (customized Highway Alignment Optimization model). The proposed model is applied on an artificially generated study area of size 20 miles x 20 miles around Washington DC in USA. The efficiency of the proposed algorithm is verified on small scale examples first. Then the model is applied on radial corridors of 12 miles x 3 miles and a diagonal corridor of area 22 mile x 3 mile within the study area to obtain optimal rail transit alignments. The results show that a new rail line alignment can be established in a comprehensive, consecutive and automated process using the proposed model. Better results are obtained for radial corridors than for the diagonal corridor as many-to-one travel pattern is considered for the study. The iterative approach in the algorithm increases computational complexities but produces near optimal solution for a rail transit alignment. The results give a planner an initial idea about which objective functions to use for a specific type of study corridor under consideration. -- Abstract.
Sustainable Rail Transport
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Author : Marin Marinov
language : en
Publisher: Springer
Release Date : 2019-07-24
Sustainable Rail Transport written by Marin Marinov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Technology & Engineering categories.
This volume presents a collection of rail orientated research articles, covering a variety of topics on rail operations research and management of rail systems as well as innovation, particularly focusing on sustainability aspects. The material consists of the most recent research work of the authors. The authorship is international, which makes it an interesting read for rail academics and professionals around the world. Although the material has a rail research focus the material is also excellent for preparation and delivery of rail, transport and logistics orientated courses and programmes. The target audience primarily comprises research experts in transport research, but the book may also be beneficial for graduate students alike.
Alignment Optimization In Rail Transit
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Author : Dongying Yang
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Alignment Optimization In Rail Transit written by Dongying Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.
This book deals with alignment optimization models for planning rail transit. After a general introduction to the basics of alignment optimization theory, it presents different alignment optimization methods to deal with different situations. It shows how to set up a 3D GIS scene for alignment interaction design, including location calculation of an alignment, alignment expression in a 3D scene, and the spacial relations between geographic objects, horizontal alignment, and vertical alignment. Further, it presents methods for solving more complex alignment optimization models, and shows for each different rail transit situation, how to calculate investment, energy consumption, and environmental influence. All in all, this book offers an interesting and timely reading to both researchers and professionals in the field of optimization theory, transportation planning, and GIS.
Recent Advances In Transportation Systems Engineering And Management
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Author : M. V. L. R. Anjaneyulu
language : en
Publisher: Springer Nature
Release Date : 2022-11-10
Recent Advances In Transportation Systems Engineering And Management written by M. V. L. R. Anjaneyulu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Technology & Engineering categories.
The book presents the select proceedings of the 8th International Conference on Transportation Systems Engineering and Management (CTSEM 2021). The book covers topics pertaining to three broad areas of transportation engineering, namely Transportation Planning, Traffic Engineering and Pavement Technology. The topics covered include transportation and land use, urban and regional transportation planning, travel behavior modeling, travel demand analysis, forecasting and management, transportation and ICT, public transport planning and management, freight transport, traffic flow modeling and management, highway design and maintenance, capacity and level of service, traffic crashes and safety, ITS and applications, non-motorized transportation, transportation economics and policy, road and parking pricing, pedestrian facilities and safety, road asset management, pavement materials and characterization, pavement design and construction, pavement evaluation and management, transportation infrastructure financing, innovative trends in transportation systems, sustainable transportation, smart cities, resilience of transportation systems and environmental and ecological aspects. This book will be useful for the students, researchers and the professionals in the area of civil engineering, especially transportation and traffic engineering.
Gis And Genetic Algorithm Based Integrated Optimization For Rail Transit System Planning
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Author : Chro Haider Ahmed
language : en
Publisher:
Release Date : 2016
Gis And Genetic Algorithm Based Integrated Optimization For Rail Transit System Planning written by Chro Haider Ahmed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Alignment Optimization In Rail Transit
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Author : Dongying Yang
language : en
Publisher: Springer
Release Date : 2025-01-24
Alignment Optimization In Rail Transit written by Dongying Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.
Spatial Evolutionary Modeling
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Author : Roman M. Krzanowski
language : en
Publisher: Oxford University Press
Release Date : 2001-08-02
Spatial Evolutionary Modeling written by Roman M. Krzanowski and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-08-02 with Science categories.
Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.
Using Genetic Algorithms And Artificial Neural Networks For Multisource Geospatial Data Modeling And Classification
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Author : Jiang Zhou
language : en
Publisher:
Release Date : 1998
Using Genetic Algorithms And Artificial Neural Networks For Multisource Geospatial Data Modeling And Classification written by Jiang Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Mapping And Spatial Modelling For Navigation
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Author : Louis-François Pau
language : en
Publisher: Springer
Release Date : 1990
Mapping And Spatial Modelling For Navigation written by Louis-François Pau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
The successful implementation of applications in spatial reasoning requires paying attention to the representation of spatial data. In particular, an integrated and uniform treatment of different spatial features is necessary in order to enable the reasoning to proceed quickly. Currently, the most prevalent features are points, rectangles, lines, regions, surfaces, and volumes. As an example of a reasoning task consider a query of the form "find all cities with population in excess of 5,000 in wheat growing regions within 10 miles of the Mississippi River. " Note that this query is quite complex. It requires- processing a line map (for the river), creating a corridor or buffer (to find the area within 10 miles of the river), a region map (for the wheat), and a point map (for the cities). Spatial reasoning is eased by spatially sorting the data (i. e. , a spatial index). In this paper we show how hierarchical data structures can be used to facilitate this process. They are based on the principle of recursive decomposition (similar to divide and conquer methods). In essence, they are used primarily as devices to sort data of more than one dimension and different spatial types. The term quadtree is often used to describe this class of data structures. In this paper, we focus on recent developments in the use of quadtree methods. We concentrate primarily on region data. For a more extensive treatment of this subject, see [SameS4a, SameSSa, SameSSb, SameSSc, SameSga, SameSgbj.
Models And Algorithms For Railway Line Planning Problems
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Author : Jan-Willem Henricus Mathijs Goossens
language : en
Publisher:
Release Date : 2004
Models And Algorithms For Railway Line Planning Problems written by Jan-Willem Henricus Mathijs Goossens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.