Latest revision as of 10:56, 15 February 2021

Abstract

     <jats:p>In this paper, a method has been developed based on historic traffic data (vehicle speed), which helps the commuters to choose routes by their intelligence knowing the traffic conditions in Google maps. Data has been collected on basis of video analysis from several segments between Tuker Bazar and Bandar Bazar route. For each of the video footage, a reference length has been recorded with measurement tape for use in video analysis. Software has been also developed based on Java language to get the traffic information from historic data, which shows the output as images consisting of traffic speed details on the available routes by giving day and time limit as inputs. The developed models provide useful insights and helpful for the policy makers that can lead to the reduction of traffic congestion and increase the scope of intelligence of the road users, at least for the underdeveloped or developing country where navigation is still unavailable.

Document type: Article

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The different versions of the original document can be found in:

• https://content.sciendo.com/downloadpdf/journals/ttj/15/2/article-p91.pdf under the license https://creativecommons.org/licenses/by-nc-nd

• https://content.sciendo.com/view/journals/ttj/15/2/article-p91.xml,

https://www.degruyter.com/view/j/ttj.2014.15.issue-2/ttj-2014-0008/ttj-2014-0008.pdf,

http://dx.doi.org/10.2478/ttj-2014-0008 under the license cc-by-nc-nd

• https://content.sciendo.com/view/journals/ttj/15/2/article-p91.xml?language=en,

https://trid.trb.org/view/1422258,

https://academic.microsoft.com/#/detail/2007536933 under the license http://creativecommons.org/licenses/by-nc-nd/3.0/