Show simple item record

dc.contributor.author Herath, OK
dc.contributor.author Perera, P
dc.contributor.author Sivakumar, T
dc.contributor.author Ayesha, B
dc.contributor.author Kumarage, AS
dc.contributor.author Perera, AS
dc.date.accessioned 2021-10-18T05:06:27Z
dc.date.available 2021-10-18T05:06:27Z
dc.date.issued 2021
dc.identifier.issn 28150066
dc.identifier.uri http://dl.lib.uom.lk/handle/123/16696
dc.description.abstract Traffic Surveys are crucial for different transport studies like Origin-Destination studies, Traffic Volume estimations, Vehicle Flow characteristics Determinations, Speed and Delay Studies, Turning Movement analysis, Parking Analysis etc. Currently, Sri Lankan researchers are using mostly human-based manual surveys and semi-automated methods for Traffic Surveys. However, there is an issue in cost, effort, the value of time, and the accuracy of data gathering in the above methods. Therefore, under Accelerating Higher Education Expansion and Development (AHEAD) grant, we are researching the possibility of doing surveys using videography and Artificial Intelligence technologies for continuous and accurate data collection to reduce the burden that is currently facing. en_US
dc.language.iso en en_US
dc.subject Traffic Surveys en_US
dc.subject Videography en_US
dc.title Use of videography for traffic surveys in Sri Lanka en_US
dc.type Article-Full-text en_US
dc.identifier.year 2021 en_US
dc.identifier.journal Bolgoda Plains Research Magazine en_US
dc.identifier.issue 01 en_US
dc.identifier.volume 01 en_US
dc.identifier.pgnos pp 24-25
dc.identifier.doi https://doi.org/10.31705/BPRM.2021.6 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record