scholarly journals Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6537 ◽  
Author(s):  
Kevin Bylykbashi ◽  
Ermioni Qafzezi ◽  
Phudit Ampririt ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Real Time ◽  
Support System ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Autonomous Vehicle ◽  
Health Condition ◽  
Driving Safety ◽  
Risk Level ◽  
Vehicle Speed ◽  
Driver Assistance Systems

The highly competitive and rapidly advancing autonomous vehicle race has been on for several years now, and it has made the driver-assistance systems a shadow of their former self. Nevertheless, automated vehicles have many obstacles on the way, and until we have them on the roads, promising solutions that can be achievable in the near future should be sought-after. Driving-support technologies have proven themselves to be effective in the battle against car crashes, and with Vehicular Ad hoc Networks (VANETs) supporting them, their efficiency is expected to rise steeply. In this work, we propose and implement a driving-support system which, on the one hand, could immensely benefit from major advancement of VANETs, but on the other hand can effectively be implemented as a stand-alone system. The proposed system consists of a non-intrusive integrated fuzzy-based system able to detect a risky situation in real time and alert the driver about the danger. It makes use of the information acquired from various in-car sensors as well as from communications with other vehicles and infrastructure to evaluate the condition of the considered parameters. The parameters include factors that affect the driver’s ability to drive, such as his/her current health condition and the inside environment in which he/she is driving, the vehicle speed, and factors related to the outside environment such as the weather and road condition. We show the effect of these parameters on the determination of the driving risk level through simulations and experiments and explain how these risk levels are translated into actions that can help the driver to manage certain risky situations, thus improving the driving safety.

Performance Analysis of a Flexible MAC Protocol for Real-Time Services in Vehicular Ad-Hoc Networks

2005 ◽  
Vol 12 (3) ◽  
pp. 147-157
Author(s):  
Giuseppe Caizzone ◽  
Paolo Giacomazzi ◽  
Luigi Musumeci ◽  
Gabriella Saddemi ◽  
Giacomo Verticale
Keyword(s):  
Performance Analysis ◽  
Ad Hoc Networks ◽  
Real Time ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mac Protocol ◽  
Hoc Networks

scholarly journals V2V Routing in VANET Based on Fuzzy Logic and Reinforcement Learning

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Wanli Zhang ◽  
Xiaoying Yang ◽  
Qixiang Song ◽  
Liang Zhao
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Convergence Speed ◽  
Q Learning ◽  
On The Road ◽  
The Impact

To ensure the transmission quality of real-time communications on the road, the research of routing protocol is crucial to improve effectiveness of data transmission in Vehicular Ad Hoc Networks (VANETs). The existing work Q-Learning based routing algorithm, QLAODV, is studied and its problems, including slow convergence speed and low accuracy, are found. Hence, we propose a new routing algorithm FLHQRP by considering the characteristics of real-time communication in VANETs in the paper. The virtual grid is introduced to divide the vehicle network into clusters. The node’s centrality and mobility, and bandwidth efficiency are processed by the Fuzzy Logic system to select the most suitable cluster head (CH) with the stable communication links in the cluster. A new heuristic function is also proposed in FLHQRP algorithm. It takes cluster as the environment state of heuristic Q-learning, by considering the delay to guide the forwarding process of the CH. This can speed up the learning convergence, and reduce the impact of node density on the convergence speed and accuracy of Q-learning. The problem of QLAODV is solved in the proposed algorithm since the experimental results show that FLHQRP has many advantages on delivery rate, end-to-end delay, and average hops in different network scenarios.

scholarly journals Detection of Traffic Congestion and Marine Border Intrusion using Vehicular ad-hoc Networks

2019 ◽  
Vol 8 (10) ◽  
pp. 818-825
Keyword(s):  
Real Time ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Safety Information ◽  
Mobile Network ◽  
Weather Conditions ◽  
Border Crossing ◽  
Driving Experience ◽  
Wireless Router ◽  
Road Side Units

The Vehicular Ad-hoc network, or VANET, is for sharing of emergency and safety information among vehicles to ensure safe travelling of users in road. It is the technology that considers moving cars as nodes to create a mobile network. VANET turns every participating car into wireless router or node, allowing cars to establish communication. Vehicles can communicate within themselves (V2V) and also with the road side units (V2I). Vehicles communicating with other vehicles are likely to enhance the driving experience, awareness, situation perception and thus safety. In response to the problem of drastically increasing road accidents and climatic disasters like smoke, fog etc., we have designed and tested in various traffic scenarios of Kathipara(area in Chennai Tamilnadu), T.Nagar(area in Chennai, Tamilnadu), highway and a village . Each scenario is very different from each other; like Kathipara having moderate real time traffic, T.Nagar having extensive dense traffic, highways with irregular traffic and villages which having very few vehicles for most time. We designed the placement of RSUs(Road Side Units) in each scenario and we analyzed the delay and packet delivery ratios(PDR) in each scenario. These results would guarantee the use of VANET in real time. Yet another traffic scenario we have considered is what happens in marine environment. Unintentional International border crossing by fishermen and hardships encountered by fishermen due to extreme weather conditions are the motivation behind our conceptualizing a network for communication among boats which can be called a BANET (Boat Adhoc Vehicular Network)

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