| Title |
Performance Evaluation Of An Adaptable Invanets-Based Intersection Traffic Control |
| ID_Doc |
41737 |
| Authors |
Tabaza H.A.; Saeed I.; Elhadef M. |
| Year |
2019 |
| Published |
Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019 |
| DOI |
http://dx.doi.org/10.33965/csc2019_201908l029 |
| Abstract |
With the recent advances in intelligent vehicles ad-hoc networks (inVANETs), the traditional traffic control problem at intersections is being revisited to cope with the future intelligent transportation systems. In this paper, we introduce the performance evaluation of a centralized inVANETs-based intersection traffic control protocol. Extensive simulations have been conducted using various real traffic scenarios to evaluate the efficiency and the dynamics of the newly proposed traffic control approach that gives the intelligent vehicles full autonomous control of crossing intersections using vehicle-to-vehicle and vehicle-to-infrastructure communications. Simulation results using the tools OMNet++, VEINS, and SUMO showed that the new approach is a viable alternative and addition to the existing traffic control approaches. © 2019 IADIS Press. All rights reserved. |
| Author Keywords |
Distributed Algorithms; Intelligent Transportation Systems; Intelligent Vehicles ad-hoc networks (inVANETs); Intersection Traffic Control; Smart cities |
