Building an Intelligent Transport Information Platform for Smart Cities
Project report
Mapp, G., Ghosh, A. and Paranthaman, V. 2017. Building an Intelligent Transport Information Platform for Smart Cities. Middlesex University Research Repository Middlesex University.
Type | Project report |
---|---|
Title | Building an Intelligent Transport Information Platform for Smart Cities |
Authors | Mapp, G., Ghosh, A. and Paranthaman, V. |
Abstract | Intelligent Transportation management is a key requirement in the development of Smart Cities. This can be realised with a new technology known as Vehicular Ad hoc Networks or VANETs. VANETs allow us to integrate our transport and communication infrastructures through communication devices deployed along the roads called Roadside Units (RSUs). The RSUs talk to a device in your car called an Onboard Unit (OBU). OBUs can exchange information with RSUs as well as with each other, and because VANETs have been engineered to deliver information quickly and reliably, they can be used in a number of safety-critical areas such as collision avoidance, accident notification and disaster management. This project was about building and evaluating a prototype VANET network on the Middlesex University Hendon Campus and surrounding roads. The information from this VANET Testbed was stored and processed using a Cloud platform at Middlesex University, enabling visual and data analytics to be applied in order to provide an intelligent platform for transport management. |
Publisher | Middlesex University |
Place of publication | Middlesex University Research Repository |
Publication process dates | |
Deposited | 06 Aug 2021 |
Submitted | 12 Dec 2017 |
Accepted | 01 Jan 2018 |
Output status | Published |
Publisher's version | |
Additional information | This is a report on the work done by the Middlesex University VANET Research Group to build the Middlesex VANET Testbed at its Hendon Campus in Hendon, London. |
Language | English |
Institution name | Middlesex University |
Department name | Department of Computer Science |
https://repository.mdx.ac.uk/item/8973x
Download files
71
total views29
total downloads0
views this month0
downloads this month