A simulation based forecast algorithm for public transportation

dc.contributor.authorDaugaard, Jonathan
dc.contributor.authorLarkö, Erik
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:30:50Z
dc.date.available2019-07-03T13:30:50Z
dc.date.issued2014
dc.description.abstractThis thesis describes a simulation based system for forecasting arrival and departure times in complex public transit systems. The variables included in the calculations are: time of day, vehicle schedule adherence, estimated passenger count on stop, interactions with other vehicles and vehicle position from both historical and contemporary data. The use of a simulation based algorithm simpli es the implementation of a complex model with a great number of di erent dependencies. Additionally, creating a forecast using historical data while looking at di erent data features to nd similarities gives a more accurate forecast than just looking at a moving average using data from the current day.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/203064
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleA simulation based forecast algorithm for public transportation
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc
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