Application of Bat Algorithm for Transport Network Design Problem

The requirement of the road services and transportation network development planning came into existence with the development of civilization. In the modern urban transport scenario with the forever mounting amount of vehicles, it is very much essential to tackle network congestion and to minimize t...

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Main Authors: Sweta Srivastava, Sudip Kumar Sahana
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2019/9864090
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author Sweta Srivastava
Sudip Kumar Sahana
author_facet Sweta Srivastava
Sudip Kumar Sahana
author_sort Sweta Srivastava
collection DOAJ
description The requirement of the road services and transportation network development planning came into existence with the development of civilization. In the modern urban transport scenario with the forever mounting amount of vehicles, it is very much essential to tackle network congestion and to minimize the travel time. This work is based on determining the optimal wait time at traffic signals for the microscopic discrete model. The problem is formulated as a bilevel model. The upper layer optimizes the travel time by reducing the wait time at traffic signal and the lower layer solves the stochastic user equilibrium. Soft computing techniques like Genetic Algorithms, Ant Colony Optimization, and many other biologically inspired techniques prove to give good results for bilevel problems. Here this work uses Bat Intelligence to solve the transport network design problem. The results are compared with the existing techniques.
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institution Kabale University
issn 1687-9724
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language English
publishDate 2019-01-01
publisher Wiley
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series Applied Computational Intelligence and Soft Computing
spelling doaj-art-24a2ebf5a0514cd295af740e623ae5182025-02-03T01:30:51ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322019-01-01201910.1155/2019/98640909864090Application of Bat Algorithm for Transport Network Design ProblemSweta Srivastava0Sudip Kumar Sahana1ASET, Amity University, Noida, IndiaDepartment of Computer Science, Birla Institute of Technology, Mesra, IndiaThe requirement of the road services and transportation network development planning came into existence with the development of civilization. In the modern urban transport scenario with the forever mounting amount of vehicles, it is very much essential to tackle network congestion and to minimize the travel time. This work is based on determining the optimal wait time at traffic signals for the microscopic discrete model. The problem is formulated as a bilevel model. The upper layer optimizes the travel time by reducing the wait time at traffic signal and the lower layer solves the stochastic user equilibrium. Soft computing techniques like Genetic Algorithms, Ant Colony Optimization, and many other biologically inspired techniques prove to give good results for bilevel problems. Here this work uses Bat Intelligence to solve the transport network design problem. The results are compared with the existing techniques.http://dx.doi.org/10.1155/2019/9864090
spellingShingle Sweta Srivastava
Sudip Kumar Sahana
Application of Bat Algorithm for Transport Network Design Problem
Applied Computational Intelligence and Soft Computing
title Application of Bat Algorithm for Transport Network Design Problem
title_full Application of Bat Algorithm for Transport Network Design Problem
title_fullStr Application of Bat Algorithm for Transport Network Design Problem
title_full_unstemmed Application of Bat Algorithm for Transport Network Design Problem
title_short Application of Bat Algorithm for Transport Network Design Problem
title_sort application of bat algorithm for transport network design problem
url http://dx.doi.org/10.1155/2019/9864090
work_keys_str_mv AT swetasrivastava applicationofbatalgorithmfortransportnetworkdesignproblem
AT sudipkumarsahana applicationofbatalgorithmfortransportnetworkdesignproblem