Multi-Hop Broadcasting in VANET for Safety Applications

2013 ◽  
Vol 9 (4) ◽  
pp. 86-104 ◽  
Author(s):  
Adel Berradj ◽  
Zoubir Mammeri
Keyword(s):  
Communication Networks ◽  
Intelligent Transportation Systems ◽  
Ad Hoc ◽  
Safety Information ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Classification Criteria ◽  
Road Accidents ◽  
And Performance ◽  
Safety Applications

Intelligent Transportation Systems (ITS), which rely on vehicular ad hoc communication networks (VANETs), have the potential to alleviate road accidents and to save lives. Several use cases to VANETs safety applications have been proposed. Most of these applications use multi-hop broadcasting communications to disseminate safety information as far as needed in zones of relevance. A wide variety of multi-hop broadcasting approaches have been proposed in recent years. In this paper the authors review, characterize and categorize multi-hop broadcast protocols. A set of classification criteria is proposed to highlight the design principles and performance of broadcasting protocols.

scholarly journals On the Study of Vehicle Density in Intelligent Transportation Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Julio A. Sanguesa ◽  
Fernando Naranjo ◽  
Vicente Torres-Sanz ◽  
Manuel Fogue ◽  
Piedad Garrido ◽  
...  
Keyword(s):  
Communication Networks ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Signal Transmission ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Vehicular Communications ◽  
Related Factors ◽  
On The Road

Vehicular ad hoc networks (VANETs) are wireless communication networks which support cooperative driving among vehicles on the road. The specific characteristics of VANETs favor the development of attractive and challenging services and applications which rely on message exchanging among vehicles. These communication capabilities depend directly on the existence of nearby vehicles able to exchange information. Therefore, higher vehicle densities favor the communication among vehicles. However, vehicular communications are also strongly affected by the topology of the map (i.e., wireless signal could be attenuated due to the distance between the sender and receiver, and obstacles usually block signal transmission). In this paper, we study the influence of the roadmap topology and the number of vehicles when accounting for the vehicular communications capabilities, especially in urban scenarios. Additionally, we consider the use of two parameters: the SJ Ratio (SJR) and the Total Distance (TD), as the topology-related factors that better correlate with communications performance. Finally, we propose the use of a new density metric based on the number of vehicles, the complexity of the roadmap, and its maximum capacity. Hence, researchers will be able to accurately characterize the different urban scenarios and better validate their proposals related to cooperative Intelligent Transportation Systems based on vehicular communications.

A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks

2021 ◽  
Vol 12 (4) ◽  
pp. 1-30
Author(s):  
Zhenchang Xia ◽  
Jia Wu ◽  
Libing Wu ◽  
Yanjiao Chen ◽  
Jian Yang ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Key Technologies ◽  
Comprehensive Survey ◽  
Hoc Networks ◽  
Graph Neural Networks

Vehicular ad hoc networks ( VANETs ) and the services they support are an essential part of intelligent transportation. Through physical technologies, applications, protocols, and standards, they help to ensure traffic moves efficiently and vehicles operate safely. This article surveys the current state of play in VANETs development. The summarized and classified include the key technologies critical to the field, the resource-management and safety applications needed for smooth operations, the communications and data transmission protocols that support networking, and the theoretical and environmental constructs underpinning research and development, such as graph neural networks and the Internet of Things. Additionally, we identify and discuss several challenges facing VANETs, including poor safety, poor reliability, non-uniform standards, and low intelligence levels. Finally, we touch on hot technologies and techniques, such as reinforcement learning and 5G communications, to provide an outlook for the future of intelligent transportation systems.

Potential Using Vehicle to Vehicle Communication Based on Wireless Fidelity (Wi-Fi) for Supporting Intelligent Transportation Systems (ITS)

2021 ◽  
pp. 61-76
Author(s):  
إسراء عصام بن موسى ◽  
عبدالسلام صالح الراشدي
Keyword(s):  
Intelligent Transportation Systems ◽  
Ad Hoc ◽  
Real Life ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
The Road ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication ◽  
Wireless Fidelity

Vehicular Ad-hoc Network (VANET) becomes one of the most popular modern technologies these days, due to its contribution to the development and modernization of Intelligent Transportation Systems (ITS). The primary goal of these networks is to provide safety and comfort for drivers and passengers in roads. There are many types of VANET that are used in ITS, in this paper, we particularly focus on the Vehicle to Vehicle communication (V2V), which each vehicle can exchange information to inform drivers of other vehicles about the current state of the road flow, in the event of any emergency to avoid accidents, and reduce congestion on roads. We proposed V2V using Wi-Fi (wireless fidelity); the reason of its unique characteristics that distinguish it from other types. There are many difficulties and the challenges in implementing most types of V2V, and the reason is due to the lack of devices and equipment needed for real implementation. To prove the possibility of applying this type in real life, we made a prototype contains a modified toy car, a 12-volt power supply, sensors, visual, audible alarm, a visual “LED” devices, and finally a 12-volt DC relay unit. As a conclusion, the proposed implementation in spite of minimal requirements and use simple equipment, we have achieved the most important main objectives of the paper: preventing vehicles from collision, early warning, and avoiding congestion on the roads.

scholarly journals Driver’s Drowsiness Detection Based on Behavioural Changes using ResNet

2019 ◽  
Vol 8 (3) ◽  
pp. 5708-5712
Keyword(s):  
Deep Learning ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Motor Vehicles ◽  
Steering Wheel ◽  
Road Accidents ◽  
Drowsiness Detection ◽  
Behavioural Changes ◽  
The Road

Recently there has been growing interest in intelligent transportation system because the road accidents become biggest problems of mankind and the casualties of accident also increases rapidly every year. The casualties are very often witnessed in heavy and light motor vehicles. Moreover, the accidents occur mainly due to carelessness and drowsy feeling of the driver. Intelligent transportation systems use deep learning mechanism to detect drowsiness of the driver and alert the same to driver. It results in reduction of accidents. The driver’s behaviour during drowsiness is detected by three types of approaches. One approach deploys the sensors in steering wheel and accelerator of the vehicle and analyzes the signal sent by the sensors to detect the drowsiness. Second approach focuses on measuring the heart rate, pulse rate and brain signals etc to predict the drowsiness. Third approach uses the facial expression of the driver such as blinking rate of eye, eye closure and yawning etc. The cause for most of the road accidents is driver’s drowsiness. Therefore, in this paper, the behavioural changes of driver is accounted to detect the drowsiness of the driver. Eye movement and yawning are two behavioural changes of driver is considered in this paper. There are many CNN based deep learning architectures such AlexNet, VGGNet, ResNet. In this paper, we propose the drowsiness detection using ResNet because this method works on the principle of passing the output to the next la. The performance of proposed mechanism detects the drowsiness of the driver better than AlexNet and VGGNet.

scholarly journals Recent Developments on Security and Privacy of V2V & V2I Communications: A Literature Review

2020 ◽  
Vol 48 (4) ◽  
pp. 377-383
Author(s):  
Evangelos Mitsakis ◽  
Iliani Styliani Anapali
Keyword(s):  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
New Technologies ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Security And Privacy ◽  
Privacy Requirements ◽  
Recent Developments ◽  
Hoc Networks

In the recent years Intelligent Transportation Systems and associated technologies have progressed significantly, including services based on wireless communications between vehicles (V2V) and infrastructure (V2I). In order to increase the trustworthiness of these communications, and convince drivers to adopt the new technologies, specific security and privacy requirements need to be addressed, using Vehicular Ad Hoc Networks (VANETs). To maintain VANET′s security and eliminate possible attacks, mechanisms are to be developed. In this paper, previous researches are reviewed aiming to provide information concerning matches between an attack and a solution in a VANET environment.

Video Event Detection Technology and its Application in Intelligent Transportation

2012 ◽  
Vol 198-199 ◽  
pp. 1225-1230
Author(s):  
Jin Hui Lan ◽  
Min Guo ◽  
Xiao Jie Liu
Keyword(s):  
Event Detection ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Surveillance Systems ◽  
Advantages And Disadvantages ◽  
Video Event ◽  
Detection Technology ◽  
Video Event Detection ◽  
And Performance

Video event detection technology has become a hot issue in the Intelligent Transportation Systems(ITS) research. It mainly uses in highways, tunnels, urban roads and other video surveillance systems. This paper makes a brief overview on the development of video detection technology at home and abroad. It describes the working principles and key technologies of the two kinds of incident detection technology based on virtual detection loop and video vehicle tracking, compare above two technology to sum up their advantages and disadvantages. At last it introduces the typical products of the domestic and foreign video event detection technology, their applications and performance index.

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