title: Towards an agent based traffic regulation and recommendation system for the on-road air quality control.
abstract: This paper presents an integrated and adaptive problem-solving approach to control the on-road air quality by modeling the road infrastructure, managing traffic based on pollution level and generating recommendations for road users. The aim is to reduce vehicle emissions in the most polluted road segments and optimizing the pollution levels. For this we propose the use of historical and real time pollution records and contextual data to calculate the air quality index on road networks and generate recommendations for reassigning traffic flow in order to improve the on-road air quality. The resulting air quality indexes are used in the system's traffic network generation, which the cartography is represented by a weighted graph. The weights evolve according to the pollution indexes and path properties and the graph is therefore dynamic. Furthermore, the systems use the available pollution data and meteorological records in order to predict the on-road pollutant levels by using an artificial neural network based prediction model. The proposed approach combines the benefits of multi-agent systems, Big data technology, machine learning tools and the available data sources. For the shortest path searching in the road network, we use the Dijkstra algorithm over Hadoop MapReduce framework. The use Hadoop framework in the data retrieve and analysis process has significantly improved the performance of the proposed system. Also, the agent technology allowed proposing a suitable solution in terms of robustness and agility.
authors.affiliation: Computer Systems Engineering Laboratory, Faculty of Sciences, Cadi Ayyad University, 4000 Marrakech, Morocco.
authors.forename: Abderrahmane
authors.initials: A
authors.lastname: Sadiq
authors.affiliation: Computer Systems Engineering Laboratory, Faculty of Sciences, Cadi Ayyad University, 4000 Marrakech, Morocco.
authors.forename: Abdelaziz
authors.initials: A
authors.lastname: El Fazziki
authors.affiliation: Laboratoire Physico-Chimie des Matériaux et Environnement (LPCME) URAC 20, Faculty of Sciences, Cadi Ayyad University, 4000 Marrakech, Morocco.
authors.forename: Jamal
authors.initials: J
authors.lastname: Ouarzazi
authors.affiliation: Computer Systems Engineering Laboratory, Faculty of Sciences, Cadi Ayyad University, 4000 Marrakech, Morocco.
authors.forename: Mohamed
authors.initials: M
authors.lastname: Sadgal
keywords: Air quality management; Artificial neural networks; Dijkstra algorithm; Hadoop; Multi-agent systems; Traffic regulation and recommendation