Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2738
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dc.contributor.authorThiranjaya, C-
dc.contributor.authorRushan, R-
dc.contributor.authorUdayanga, P-
dc.contributor.authorKaushalya, U-
dc.contributor.authorRankothge, W-
dc.date.accessioned2022-07-05T07:52:10Z-
dc.date.available2022-07-05T07:52:10Z-
dc.date.issued2018-12-
dc.identifier.citationThiranjaya, Chamindu & Rushan, Randika & Udayanga, Prabath & Kaushalya, Udeshika & Rankothge, Windhya. (2018). Towards a Smart City: Application of Optimization for a Smart Transportation Management System. 1-6. 10.1109/ICIAFS.2018.8913376.en_US
dc.identifier.issn2151-1810-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2738-
dc.description.abstractIntelligent traffic planning, the efficiency of public transport and the improved connectivity of all road users in a city, comprise the mobility characteristics of a smart city. In the era of smart cities, efficient and well managed public transportation systems play a crucial role. The planning and allocation of public transportation systems, especially the public bus scheduling is one of the major resource allocation problems where the optimal resource allocation increases the passenger's as well as bus owner's satisfaction. In this research, we have proposed a platform for public transportation management, especially for optimal planning and scheduling of buses. We have used two approaches for our algorithms: Iterated Local Search (ILS) and Genetic Algorithm (GA). In this paper, we are presenting our optimization algorithms and their performances. Our results show that, using our algorithms, we can decide the optimal allocations of buses and plan the bus schedules dynamically in the order of seconds.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS);-
dc.subjectTowardsen_US
dc.subjectSmart Cityen_US
dc.subjectApplicationen_US
dc.subjectOptimizationen_US
dc.subjectSmart Transportationen_US
dc.subjectManagement Systemen_US
dc.titleTowards a Smart City: Application of Optimization for a Smart Transportation Management Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIAFS.2018.8913376en_US
Appears in Collections:Department of Computer Systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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