Kılıç, FatihGok, Mustafa2025-01-062025-01-062015978-1-4673-7967-010.1109/ECBS-EERC.2015.302-s2.0-84966588493https://doi.org/10.1109/ECBS-EERC.2015.30https://hdl.handle.net/20.500.14669/1746Eastern European Regional Conference on the Engineering of Computer-Based Systems ECBS-EERC -- AUG 27-28, 2015 -- Brno, CZECH REPUBLICThis paper presents a model of Adana Urban Public Transportation network. This network can be used as a benchmark to test route-planning algorithms on fast expanding cities. In addition to the network model, a real travel demand matrix is obtained using electronic travel card data. The paper also presents multi-objective optimization results generated using genetic algorithm and NSGA-II algorithm. Solutions obtained are compared with the existing bus routes. The results indicate that over 40% savings in route length can be achieved when operators' demands are prioritized.eninfo:eu-repo/semantics/closedAccessAdana Urban Transportation PlanningGenetic AlgorithmMulti Objective OptimizationConference Object1370134WOS:000380443500021N/A