Nowadays, traffic road jams are considered one of the most serious problems facing a large group of people, where many drivers die or are exposed to serious injuries because of road accidents that occur due to road congestion, driver's behaviour by disobeying the rules and traffic lights or bad management for traffic system. The eagerness on developing the deployment traffic road information among vehicles to reduce road accidents and to make the journey more safe was the main motivation behind the improvement of Vehicular Ad Hoc Networks VANETs. VANETs are a special category of Mobile Ad Hoc Networks (MANET), which are considered the cornerstone for Intelligent Transportation System (ITS) used to established communication among vehicles on a road using an infrastructure-less network. On this study, we will use graph model representation to design a novel algorithm which can deal with Instantaneous accident/incident occasions, road works and roads amendments to provide instant actions list to the transportation team to reduce congestion in shorter time, and to use wireless access technologies to send individual message to the relevant vehicles to avoid the congestion through Road Side Units (RSUs) devices. The aim of this research is to develop Intelligent Transportation System (ITS) for a city (e.g. Northampton) using VANETs technology, specifically vehicle to infrastructure communications which lead to reducing the traffic congestion or mitigation. The performance of proposed study will be evaluated via various congested scenarios using simulations software (Omnet++, SUMO and Veins) to assess the validity of the proposed algorithm.
|Publication status||Published - 17 Jun 2015|
|Event||Postgraduate Research Degree Student & Early Career Researcher Conference - University of Northampton|
Duration: 1 Jul 2010 → …
|Conference||Postgraduate Research Degree Student & Early Career Researcher Conference|
|Period||1/07/10 → …|
Al-Dabbagh, M., Al-Sherbaz, A., & Turner, S. J. (2015). Employing VANET technology to alleviate road congestion in real time. Paper presented at Postgraduate Research Degree Student & Early Career Researcher Conference, .