Towards a distributed and infrastructure-less vehicular traffic management system

Abstract

In the past few years, several systems have been proposed to deal with issues related to the vehicular traffic management. Usually, their solutions include the integration of computational technologies such as vehicular networks, central servers, and roadside units. Most systems use a hybrid approach, which means they still need a central entity (central server or roadside unit) and Internet connection to find out an en-route event as well as alternative routes for vehicles. It is easy to understand the need for a central entity because selecting the most appropriate vehicle to perform aforementioned procedures is a difficult task. This is especially true in a highly dynamic network. In addition to that, as far as we know, there are very few systems that apply the altruistic approach (not selfish behavior) to routing decisions. Because of that, the issue addressed in this work is how to perform the vehicular traffic management, when an en-route event is detected, in a distributed, scalable, and cost-effective fashion. To deal with these issues, we proposed a distributed vehicle traffic management system, named as dEASY (distributed vEhicle trAffic management SYstem).The dEASY system was designed and implemented on a three-layer architecture, namely environment sensing and vehicle ranking, knowledge generation and distribution, and knowledge consumption. Each layer of the dEASY architecture is responsible for dealing with the main issues that were not addressed in related works or could be improved. The essential task of each the layer is: the first layer deals with the task of selecting the most appropriate vehicle, the second one addresses the knowledge generation and distribution, and in the last layer is applied an altruistic approach to choose an alternative route. Simulation results have shown that, compared with other systems from the literature, our proposed system has lower network overhead due to applied vehicle selection and broadcast suppression mechanisms. In average, dEASY also outperformed all other competitors in what regards to the travel time and time lost metrics. Through the analysis of results, it is possible to conclude that our infrastructure-less system is scalable and cost-effective.

A Mini Review of Peer-to-Peer (P2P) for Vehicular Communication

“…The aim of this type of interaction is largely to make it possible for safety and security applications like staying clear of automobile accidents as a result of various reasons like roadway problems, climate condition, roadside building or malfunctioning traffic control. This technology alerts the motorist about accidents, traffic, sharp contours, and with suggested speeds [46,47].…”

Network Management and Monitoring Solutions for Vehicular Networks: A Survey

“…Most of these techniques consider the speed-based lane change model to reduce traffic congestion which will result in fewer road accidents due to improper lane change. A vehicle traffic management system (dEASY) is proposed in [128] to deal with traffic events that may have an impact on the overall network performance. This system considers three different layers to implement an architecture that is capable to deal with the selection of the best vehicle to forward data by implementing an altruistic approach to choose alternative routes.…”

ATRIP: Architecture for Traffic Classification Based on Image Processing

“…More and more vehicles are being equipped with devices that can provide numerous services and applications for managing street traffic or even the entire traffic system in a large city [2]. Because of that, the Intelligent Transport Systems (ITSs) are envisioned to provide a number of new applications that spread from road and traffic alerts [3][4][5], distributed and cooperative route planning [6][7][8][9][10], several types of video distribution [11][12][13][14][15], driving strategy advisory systems [16][17][18], to autonomous driving capabilities [19][20][21]. A report conducted by the Institute of Economic and Applied Research showed that more than 169,000 traffic accidents were registered on the federal highways in Brazil in 2014 [22].…”