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Sumo Based Dynamic Urban Simulation for Intelligence Tra c Management System

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dc.contributor.author Ahsan, Md. Nurul
dc.contributor.author Rabby, Md. Golam
dc.contributor.author Quaderi, Shah Jafor Sadeek
dc.date.accessioned 2019-02-25T06:15:16Z
dc.date.available 2019-02-25T06:15:16Z
dc.date.issued 9/15/2018
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2939
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh en_US
dc.description.abstract Increasing world population demands transportation and that re ects huge road tra c in metropolitan cities and consequently needs signi cant research for smooth tra c man- agement system. In this regard, a new Intelligent Tra c Management System (ITMS) was proposed and implemented- where a path from source to destination was selected by Ant Colony algorithm and the roads segment's weight were calculated using Deep- Neuro-Fuzzi cation and C-Means clustering framework on real time weather e ects and road conditions. However, the ITMS is still running on hypothesis and does not have any empirical evidence of working. Therefore, the ITMS needs some comprehensive analysis, other means some simulation or emulation is demanded to proof that the hypothesis is valid. In this thesis, we are going to explore the whole ITMS in realistic fashion with a micro tra c and open source tra c simulation model (SUMO) whics helps to explore tra c related issues including route choice on optimum form. Results highlight that dynamic SUMO model is able to simulate ITMS in a realistic situation, using an origin destination matrix based on road segment weight values and routing algorithms. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00154
dc.subject Sumo Based Dynamic Urban Simulation en_US
dc.title Sumo Based Dynamic Urban Simulation for Intelligence Tra c Management System en_US
dc.type Thesis en_US


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