Abstract
The aim of this paper is to summarize the findings of research concerning the application of genetic algorithm in transit network design and scheduling. Due to the involvement of several parameters the design and scheduling of transit network by means of traditional optimization technique is very difficult. To overcome these problems, most of the researchers have applied genetic algorithm for designing and scheduling of transit network. After the review of various studies involved in design and scheduling of transit network using genetic algorithm, it was concluded that genetic algorithm is an efficient optimization technique.
Highlights
In developing countries like India traffic congestion, slow speed of vehicle and poor level of service are the major problems encountered in our daily life
In the present study an attempt has been made to explore the application of genetic algorithm in routing, scheduling, combined routing and scheduling and integration of mass transit planning
We have presented the classification and analysis of studies on design and scheduling of transit network using GAs
Summary
In developing countries like India traffic congestion, slow speed of vehicle and poor level of service are the major problems encountered in our daily life These problems are due to huge growth of vehicular population specially the private and intermediate transport service [1,2,3]. From the user point of view, the system is efficient if it meets the demand by providing cheap and direct service to the passenger, and from the operator point of view the system is efficient if it makes as much profit as possible This is the main challenge in the transit planning to find balance between these conflicting objectives, various optimization techniques come in to the game [4]. In the present study an attempt has been made to explore the application of genetic algorithm in routing, scheduling, combined routing and scheduling and integration of mass transit planning
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