Smart Mobility and Driver Behavior correlated with Vehicular Networks under a Social Perception in Smart Cities

  • Yassine Hernafi
  • Mohamed BEN AHMED
  • Mohammed BOUHORMA

Abstract

To manage the complications produced by the urbanization, the concept of smart city takes the lead by proposing mainly advantages, including the increase of quality and comfort of citizens by using information and communication technologies, a part of the key factors of Smart Cities. One of the most suitable concepts for improving road safety and such other services of intelligent transportation systems, is especially the vehicular ad-hoc network, a particular application of the classical mobile ad-hoc networks.Following this perspective, our work proposes various approaches regarding smart mobility in Smart Cities, while offering a pertinent design.Moreover, this chapter conceives in the first way a framework for human smart behavior and mentality, offering solutions to develop a successful smart city, then in the second part, we investigated the impact of the human driver behavior on ITS by suggesting an algorithm for categorizing driver behavior, in order to propose a new model of communication to warn other vehicles on the road, so as to prevent accidents from happening and to ensure smart mobility with security aspects perspective. Likewise, we decided to integrate our approach to notify vehicles in the traffic,  mostly the abnormal cases usually happen, and often can be prevented by providing smart mobility under a routing perception strategy to have complementary and ideal facts. Furthermore, we demonstrate that even a complex behavior model can be represented using realistic simulation studies, the experimental results indicate that driver's behavior has a significant impact on traffic.
Published
Jan 19, 2019
How to Cite
HERNAFI, Yassine; BEN AHMED, Mohamed; BOUHORMA, Mohammed. Smart Mobility and Driver Behavior correlated with Vehicular Networks under a Social Perception in Smart Cities. International Journal of Information Science and Technology, [S.l.], v. 2, n. 2, p. 35 - 47, jan. 2019. ISSN 2550-5114. Available at: <https://innove.org/ijist/index.php/ijist/article/view/15>. Date accessed: 29 mar. 2024. doi: http://dx.doi.org/10.57675/IMIST.PRSM/ijist-v2i2.15.
Section
Special issue : Emerging Technologies and Smart Applications