1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: jtle@ejournal.net.
2.Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication...[Read More]

A SUMO Based Simulation Framework for Intelligent Traffic Management System

Shamim Akhter, Md. Nurul Ahsan, Shah Jafor Sadeek Quaderi, Md. Abdullah Al Forhad, Sakhawat H Sumit, and Md. Rahatur Rahman
Applied Intelligent System and Information Processing Lab, Dept. of Computer Science and Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh
Abstract—Continuous increments in world population demands transportation with essential vehicle facilities and directly effect on road traffic volume or congestion, mostly in metropolitan cities, and thus it needs significant investigation, analysis, and maintenance. In these regards, an Intelligent Traffic Management System (ITMS) with a Deep-Neuro-Fuzzy model was proposed and implemented. Dijkstra algorithm is used to select optimum path from source to destination on the basis of calculated road segment weights from Deep-Neuro-Fuzzy framework. However, Deep-Neuro-Fuzzy framework needs some comprehensive analysis, other means some simulation or emulation, and etc, to proof the efficiency and workability of the model. In this paper, we are going to explore the Deep-Neuro-Fuzzy model in pragmatic style with an open-source traffic simulation model (SUMO) and helps to explore traffic-related issues including route choice, simulate traffic light or vehicular communication, etc in our ITMS. In addition, a new GUI is developed to control the simulation input attributes and presents the feedbacks into the traffic flow in SUMO environment. Results highlight that the proposed SUMO model can realistically simulate ITMS based on the road segment weights from Deep-Neuro-Fuzzy model. Different built-in routing algorithms are also used to proof the workability of this model.

Index Terms—ITMS, SUMO, traffic simulation, dijkstra, deep-neuro-fuzzy model, road segment weight

Cite: Shamim Akhter, Md. Nurul Ahsan, Shah Jafor Sadeek Quaderi, Md. Abdullah Al Forhad, Sakhawat H Sumit, and Md. Rahatur Rahman, "A SUMO Based Simulation Framework for Intelligent Traffic Management System" Journal of Traffic and Logistics Engineering, Vol. 8, No. 1, pp. 1-5, June 2020. doi: 10.18178/jtle.8.1.1-5
Copyright © 2018-2020 Journal of Traffic and Logistics Engineering, All Rights Reserved