A multi-objective evolutionary algorithm for eco-efficient DRTS problems

T. Y. Hu, W. T. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Environmental impact has become an important issue in recent years. In Taiwan, the road sector has accounted over 90% CO2 emissions of transportation sector. One of the possible alternatives to reduce CO2 is through the introduction of demand responsive transit services (DRTS). In order to reflect environmental cost in DRTS, a formulation of the multi-objective dial-a-ride problem with the consideration of eco-efficiency is developed and a multi-objective evolutionary algorithm is constructed to find the Pareto optimal solution. The experiments are conducted based on a real city network by using a simulation-assignment model, DynaTAIWAN.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure
EditorsZ. Leng, Y. H. Wang
PublisherHong Kong Society for Transportation Studies Limited
Pages287-294
Number of pages8
ISBN (Electronic)9789881581433
Publication statusPublished - 2014 Jan 1
Event19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014 - Hong Kong, China
Duration: 2014 Dec 132014 Dec 15

Publication series

NameProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure

Other

Other19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014
CountryChina
CityHong Kong
Period14-12-1314-12-15

All Science Journal Classification (ASJC) codes

  • Transportation

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