Traffic Management System- Based IOV
| dc.contributor.author | Shanaah Malik | |
| dc.contributor.author | Abu Zeneh Tamer | |
| dc.contributor.author | Darwazeh Sarah | |
| dc.date.accessioned | 2023-01-29T07:59:25Z | |
| dc.date.available | 2023-01-29T07:59:25Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The project demonstrates the effectiveness of VANET as the future of vehicular networking. The project is composed of two parts - the first part shows the communication properties between VANET neighbors, such as average number of neighbors at different lane densities, the number of neighbors a car can maintain and for how long and the second part demonstrates V2I and V2V communications graphically. The simulations were developed using python 3 along with matplotlib, numpy and scipy modules. The objective of this simulation project developed in Python is to explore implementation of a simple epidemic-based routing mechanism designed to support reliable message dissemination in vehicular ad-hoc networks. In this project, the simulation can be carried out under different mobility by adopting different distributions of vehicle speed and inter-vehicle space, which provides several typical traffic scenarios for studying the epidemic routing mechanism. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/18169 | |
| dc.language.iso | en_US | |
| dc.supervisor | Tarapeah Saed | |
| dc.title | Traffic Management System- Based IOV |
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