urban transport system public transport system Genetic Algorithm
National Center for Transit Research (NCTR)
Shrivastava, P. and O'Mahony, M., Design of feeder route network using combined genetic algorithm and specialised repair heuristic, NCTR Journal of Public Transportation, 10, (2), 2007, p99 - 123
NCTR Journal of Public Transportation (10) 2
In metropolitan cities an efficient integrated public transportation system is unavoidable in order to restrict
unsustainable growth of private and intermediate transport modes. Well designed feeder routes and coordinated
schedules to minimize transfer time from main transit to feeder buses play an important role. Past literature reveals
that heuristic approach had been popular for design of routes and had been applied successfully in verities of
network design problems. Non traditional optimisation technique especially Genetic Algorithms are also found to be
very effective in generation of optimised feeder routes and schedules. In this research Genetic Algorithm first
develops feeder routes and then a specialized heuristic Algorithm works as repair algorithm in order to satisfy
demand of all the nodes. Thus the advantages of both Genetic Algorithm and Specialized Heuristic Algorithm are
obtained in this method. The developed feeder route structure is found to be better in terms of load factors in buses,
satisfaction of demand and waiting time for feeder buses as compared to existing scenario and earlier approaches
adopted by authors far the same study area.
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