An Approach in Travel Demand Management Employing Crowd Sourced Data on a Social Networking Interface

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creativework.keywordstraffic awareness, travel demand management, TDM, crowd-sourced information, Google Maps
dc.contributor.advisorShahnewaz Siddique
dc.contributor.authorRabita Saleh
dc.contributor.authorSyed Mohammad Dawood Yaseen
dc.contributor.authorMehbuba Zabyn
dc.contributor.id1530649042
dc.contributor.id1530669042
dc.contributor.id1611968642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-14
dc.date.accessioned2024-05-14T04:16:00Z
dc.date.available2024-05-14T04:16:00Z
dc.date.issued2019
dc.description.abstractAccording to research unveiled by the Accident Research Institute (ARI) of the Bangladesh University of Engineering and Technology (BUET) in 2018, traffic congestion in Dhaka costs the Bangladeshi economy approximately five million work hours and Tk. 37, 000 crore, annually. Amidst various other causes, the unpredictable nature of traffic in Dhaka creates prolonged traffic congestions. A significant part of these statistics can be attributed to a lack of information about traffic and no reliable central source of information to consult regarding the advisability of conducting a journey at any particular time. The only moderately reliable approach to gathering information regarding traffic is consulting Google Maps. However, the estimated time of arrival provided therein often fails to be satisfactorily accurate. In this paper we propose an online web application that combines the nature of a social media interface with crowd sourced data- a tool of our times the potential of which we are only beginning to grasp now- in order to provide the users with a central source of reliable information with the purpose of increasing traffic awareness, and thereby, discouraging congestion using concepts of travel demand management (TDM), particularly intelligent transportation technologies.
dc.description.degreeUndergraduate
dc.identifier.cd600000127
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/686
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSU library
dc.titleAn Approach in Travel Demand Management Employing Crowd Sourced Data on a Social Networking Interface
oaire.citation.endPage107
oaire.citation.startPage1
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