dc.contributor.author | Yasar, Mohammad Samin | |
dc.contributor.author | Rashid, Tahmid | |
dc.contributor.author | Rhaman, Khalilur | |
dc.date.accessioned | 2016-12-28T06:19:36Z | |
dc.date.available | 2016-12-28T06:19:36Z | |
dc.date.issued | 2016-01 | |
dc.identifier.citation | Yasar, 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.2015.7372991 | en_US |
dc.identifier.issn | 21593442 | |
dc.identifier.uri | http://hdl.handle.net/10361/7390 | |
dc.description | This 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.2015.7372991 | en_US |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | © 2015 Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.uri | http://ieeexplore.ieee.org/document/7372991/ | |
dc.subject | Android | en_US |
dc.subject | Dijkstra's | en_US |
dc.subject | Floating car data | en_US |
dc.subject | Traffic system | en_US |
dc.title | Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations | en_US |
dc.type | Conference paper | en_US |
dc.description.version | Published | |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.identifier.doi | http://dx.doi.org/10.1109/TENCON.2015.7372991 | |