Research Area: Metaheuristic Computing
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.
Keywords:
road services
transportation network
civilization
network congestion
microscopic
equilibrium
Soft computing
Author(s) Name: Sweta Srivastava, Sudip Kumar Sahana
Journal name: Applied Computational Intelligence and Soft Computing
Conferrence name:
Publisher name: Hindawi
DOI: 10.1155/2019/9864090
Volume Information: Volume 2019, Article ID 9864090, 12 pages
