Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22445
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dc.contributor.authorAbidin, Ahmad Faisalen_UK
dc.contributor.authorKolberg, Marioen_UK
dc.date.accessioned2018-02-10T07:19:33Z-
dc.date.available2018-02-10T07:19:33Z-
dc.date.issued2015en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22445-
dc.description.abstractAccurate bus arrival time prediction is a key component for improving the attractiveness of public transport. In this research, a model of bus arrival time prediction, which aims to improve arrival time accuracy, is proposed. The arrival time will be predicted using a Kalman Filter (KF) model, by utilising information acquired from social networks. Social Networks feed road traffic information into the model, based on information provided by people who have witnessed events and then updated their social media accordingly. In order to accurately assess the efficiency of KF model, we simulate realistic road scenarios using the traffic simulator Simulation in Urban Mobility (SUMO). SUMO is capable of simulating real world road traffic using digital maps and realistic traffic models. This paper discusses modelling a road journey using Kalman Filters and verifying the results with a corresponding SUMO simulation. As a second step, SUMO based measures are used to inform the KF model. Integrating the SUMO measures with the KF model can be seen as an initial step to verifying our premise that realtime data from social networks can eventually be used to improve the accuracy of the KF prediction. Furthermore, it demonstrates an integrated experimental environment.en_UK
dc.language.isoenen_UK
dc.publisherIEEE Computer Societyen_UK
dc.relationAbidin AF & Kolberg M (2015) Towards Improved Vehicle Arrival Time Prediction in Public Transportation: Integrating SUMO and Kalman Filter Models. In: 2015 17th UKSIM-AMSS International Conference on Modelling and Simulation. 17th Intl Conference on Modelling and Simulation, UKSim 2015, IEEE, March 2015, Cambridge, 25.03.2015-27.03.2015. Washington DC, USA: IEEE Computer Society, pp. 147-152. http://uksim2015.info/en_UK
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_UK
dc.subjectSUMOen_UK
dc.subjectKalman Filtersen_UK
dc.subjectBus Arrival Predictionen_UK
dc.titleTowards Improved Vehicle Arrival Time Prediction in Public Transportation: Integrating SUMO and Kalman Filter Modelsen_UK
dc.typeConference Paperen_UK
dc.citation.spage147en_UK
dc.citation.epage152en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.identifier.urlhttp://uksim2015.info/en_UK
dc.author.emailmko@cs.stir.ac.uken_UK
dc.citation.btitle2015 17th UKSIM-AMSS International Conference on Modelling and Simulationen_UK
dc.citation.conferencedates2015-03-25 - 2015-03-27en_UK
dc.citation.conferencelocationCambridgeen_UK
dc.citation.conferencename17th Intl Conference on Modelling and Simulation, UKSim 2015, IEEE, March 2015en_UK
dc.citation.date31/03/2015en_UK
dc.citation.isbn978-1-4799-8713-9/15en_UK
dc.publisher.addressWashington DC, USAen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000411860000018en_UK
dc.identifier.scopusid2-s2.0-84991758892en_UK
dc.identifier.wtid585106en_UK
dc.contributor.orcid0000-0002-0930-2385en_UK
dcterms.dateAccepted2015-03-31en_UK
dc.date.filedepositdate2015-11-06en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorAbidin, Ahmad Faisal|en_UK
local.rioxx.authorKolberg, Mario|0000-0002-0930-2385en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2015-11-06en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2015-11-06|en_UK
local.rioxx.filenameUKSIM2015-010315-mko.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-4799-8713-9/15en_UK
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