5 research outputs found
A Scalable Data Dissemination Protocol Based on Vehicles Trajectories Analysis
International audienceSince the last decade, the emergence of affordable wireless devices in vehicle ad-hoc networks has been a key step towards improving road safety as well as transport efficiency. Informing vehicles about interesting safety and non-safety events is of key interest. Thus, the design of an efficient data dissemination protocol has been of paramount importance. A careful scrutiny of the pioneering vehicle-to-vehicle data dissemination approaches highlights that geocasting is the most feasible approach for VANET applications, more especially in safety applications, since safety events are of interest mainly to vehicles located within a specific area, commonly called ZOR or Zone Of Relevance, close to the event. Indeed, the most challenging issue in geocast protocols is the definition of the ZOR for a given event dissemination. In this paper, we introduce a new geocast approach, called Data Dissemination Protocol based on Map Splitting (DPMS). The main thrust of DPMS consists of building the zones of relevance through the mining of correlations between vehicles' trajectories and crossed regions. To do so, we rely on the Formal Concept Analysis (FCA), which is a method of extracting interesting clusters from relational data. The performed experiments show,that DPMS outperforms its competitors in terms of effectiveness and efficiency. (C) 2017 Elsevier B.V. All rights reserved
Review of Parameters in Routing Protocols in Vehicular Ad-hoc Networks
Vehicular Ad_hoc Network (VANET) is a sophisticated elegance of devoted cellular network that permits automobiles to intelligently communicate for different roadside infrastructure. VANETs bring with it some of demanding situations associated with Quality of Service (QoS) and performance. QoS relies upon on many parameters which includes packet transport ratio, bandwidth, postpone variance, records latency, etc. This paper, discuss numerous troubles associated with latency records, bandwidth usage, and transport of packet in VANETs. The demanding situations have been recognized in offering security, reliability and confidentiality of posted records. Finally, numerous packages of VANETs also are introduced in the modern computing scenario
Real time collision warning system in the context of vehicle-to-vehicle data exchange based on drivings behaviours analysis
Worldwide injuries in vehicle accidents have been on the rise in recent years, mainly
due to driver error regardless of technological innovations and advancements for
vehicle safety. Consequently, there is a need for a reliable-real time warning system
that can alert drivers of a potential collision. Vehicle-to-Vehicle (V2V) is an extensive
area of ongoing research and development which has started to revolutionize the
driving experience. Driving behaviour is a subject of extensive research which gains
special attention due to the relationship between speeding behaviour and crashes as
drivers who engage in frequent and extreme speeding behaviour are overinvolved in
crashes. National Highway Traffic Safety Administration (NHTSA) set guidelines on
how different vehicle automation levels may reduce vehicle crashes and how the use
of on-board short-range sensors coupled with V2V technologies can help facilitate
communication among vehicles. Based on the previous works, it can be seen that the
assessment of drivers’ behaviours using their trajectory data is a fresh and open
research field. Most studies related to driving behaviours in terms of acceleration�deceleration are evaluated at the laboratory scale using experimental results from
actual vehicles. Towards this end, a five-stage methodology for a new collision
warning system in the context of V2V based on driving behaviours has been designed.
Real-time V2V hardware for data collection purposes was developed. Driving
behaviour was analyzed in different timeframes prior obtained from actual driving
behaviour in an urban environment collected from OBD-II adapter and GPS data
logger of an instrumented vehicle. By measuring the in-vehicle accelerations, it is
possible to categorize the driving behaviour into four main classes based on real-time
experiments: safe drivers, normal, aggressive, and dangerous drivers. When the
vehicle is in a risk situation, the system based on NRF24L01+PA/LNA, GPS, and
OBD-II will pass a signal to the driver using a dedicated LCD and LED light signal.
The driver can instantly decide to make the vehicle in a safe mood, effectively avoid
the happening of vehicle accidents. The proposed solution provides two main functions: (1) the detection of the dangerous vehicles involved in the road, and (2) the display of
a message informing the driver if it is safe or unsafe to pass. System performance was
evaluated to ensure that it achieved the primary objective of improving road safety in
the extreme behaviour of the driver in question either the safest (or the least aggressive)
and the most unsafe (or the most aggressive). The proposed methodology has retained
some advantages for other literature studies because of the simultaneous use of speed,
acceleration, and vehicle location. The V2V based on driving behaviour experiments
shows the effectiveness of the selected approach predicts behaviour with an accuracy
of over 87% in sixty-four real-time scenarios presented its capability to detect
behaviour and provide a warning to nearby drivers. The system failed detection only
in few times when the receiving vehicle missed data due to high speed during the test
as well as the distances between the moving vehicles, the data was not received
correctly since the power transmitted, the frequency range of the signals, the antenna
relative positions, and the number of in-range vehicles are of interest for the V2V test
scenarios. The latter result supports the conclusion that warnings that efficiently and
quickly transmit their information may be better when driver are under stress or time
pressure
Distributed Data Management in Vehicular Networks Using Mobile Agents
En los últimos años, las tecnologías de la información y las comunicaciones se han incorporado al mundo de la automoción gracias a sus avances, y han permitido la creación de dispositivos cada vez más pequeños y potentes. De esta forma, los vehículos pueden ahora incorporar por un precio asequible equipos informáticos y de comunicaciones.En este escenario, los vehículos que circulan por una determinada zona (como una ciudad o una autopista) pueden comunicarse entre ellos usando dispositivos inalámbricos que les permiten intercambiar información con otros vehículos cercanos, formando así una red vehicular ad hoc, o VANET (Vehicular Ad hoc Network). En este tipo de redes, las comunicaciones se establecen con conexiones punto a punto por medio de dispositivos tipo Wi-Fi, que permiten la comunicación con otros del mismo tipo dentro de su alcance, sin que sea necesaria la existencia previa de una infraestructura de comunicaciones como ocurre con las tecnologías de telefonía móvil (como 3G/4G), que además requieren de una suscripción y el pago de una tarifa para poder usarlas.Cada vehículo puede enviar información y recibirla de diversos orígenes, como el propio vehículo (por medio de los sensores que lleva incorporados), otros vehículos que se encuentran cerca, así como de la infraestructura de tráfico presente en las carreteras (como semáforos, señales, paneles electrónicos de información, cámaras de vigilancia, etc.). Todos estas fuentes pueden transmitir datos de diversa índole, como información de interés para los conductores (por ejemplo, atascos de tráfico o accidentes en la vía), o de cualquier otro tipo, mientras sea posible digitalizarla y enviarla a través de una red.Todos esos datos pueden ser almacenados localmente en los ordenadores que llevan los vehículos a medida que son recibidos, y sería muy interesante poder sacarles partido por medio de alguna aplicación que los explotara. Por ejemplo, podrían utilizarse los vehículos como plataformas móviles de sensores que obtengan datos de los lugares por los que viajan. Otro ejemplo de aplicación sería la de ayudar a encontrar plazas de aparcamiento libres en una zona de una ciudad, usando la información que suministrarían los vehículos que dejan una plaza libre.Con este fin, en esta tesis se ha desarrollado una propuesta de la gestión de datos basada en el uso de agentes móviles para poder hacer uso de la información presente en una VANET de forma eficiente y flexible. Esta no es una tarea trivial, ya que los datos se encuentran dispersos entre los vehículos que forman la red, y dichos vehículos están constantemente moviéndose y cambiando de posición. Esto hace que las conexiones de red establecidas entre ellos sean inestables y de corta duración, ya que están constantemente creándose y destruyéndose a medida que los vehículos entran y salen del alcance de sus comunicaciones debido a sus movimientos.En un escenario tan complicado, la aproximación que proponemos permite que los datos sean localizados, y que se puedan hacer consultas sobre ellos y transmitirlos de un sitio cualquiera de la VANET a otro, usando estrategias multi-salto que se adaptan a las siempre cambiantes posiciones de los vehículos. Esto es posible gracias a la utilización de agentes móviles para el procesamiento de datos, ya que cuentan con una serie de propiedades (como su movilidad, autonomía, adaptabilidad, o inteligencia), que hace que sean una elección muy apropiada para este tipo de entorno móvil y con un elevado grado de incertidumbre.La solución propuesta ha sido extensamente evaluada y probada por medio de simulaciones, que demuestran su buen rendimiento y fiabilidad en redes vehiculares con diferentes condiciones y en diversos escenarios.<br /