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dc.contributor.authorYasar, Mohammad Samin
dc.contributor.authorRashid, Tahmid
dc.contributor.authorRhaman, Khalilur
dc.date.accessioned2016-12-28T06:19:36Z
dc.date.available2016-12-28T06:19:36Z
dc.date.issued2016-01
dc.identifier.citationYasar, M. S., Rashid, T., & Rhaman, K. (2016). Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations. Paper presented at the IEEE Region 10 Annual International Conference, Proceedings/TENCON, , 2016-January doi:10.1109/TENCON.2015.7372991en_US
dc.identifier.issn21593442
dc.identifier.urihttp://hdl.handle.net/10361/7390
dc.descriptionThis conference paper was presented in the 35th IEEE Region 10 Conference, TENCON 2015; Holiday Inn, Sands Cotai CentralMacau; Macau; 1 November 2015 through 4 November 2015 [© 2015 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/TENCON.2015.7372991en_US
dc.description.abstractThis paper focuses on a novel approach for handling the present traffic situation in perspective of Bangladesh. The initial plan is to moderate the ongoing traffic predicament that currently plagues Dhaka city and gradually expand it across cities of neighboring countries. The aim of the paper is to develop a solution to counter the traffic clogging. The approach taken during the course of this research focused primarily on an experimental evaluation of the small-scale model of the traffic routing algorithms. The approach is to develop a traffic algorithm to calculate the routes with shortest possible times to destinations. We plan to implement the system's usability by providing feedback to our target users (car drivers) so that they can decide on which route to take. This will be done by means of an overhead display on the car dashboards backed up by an embedded OS or Android. For our input we plan to take the amount of cars that are at any specific route at a time and provide that data to the car driver by the means of modern vehicle density measurement techniques. In this work, Floating Car Data (FCD) is chosen as the mode of counting vehicle volumes generating vehicle volume indices indicative of traffic jam conditions. Travelling times are calculated using Dijkstra's algorithm and the shortest possible time required is provided to the commuters taking into consideration the situation of the roads at any point of time. The results are then verified in a road traffic simulation software for reliability.en_US
dc.language.isoenen_US
dc.publisher© 2015 Institute of Electrical and Electronics Engineers Inc.en_US
dc.relation.urihttp://ieeexplore.ieee.org/document/7372991/
dc.subjectAndroiden_US
dc.subjectDijkstra'sen_US
dc.subjectFloating car dataen_US
dc.subjectTraffic systemen_US
dc.titleDigitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nationsen_US
dc.typeConference paperen_US
dc.description.versionPublished
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.identifier.doihttp://dx.doi.org/10.1109/TENCON.2015.7372991


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