Fuzzy Logic in VANET context aware Congested Road and Automatic Crash Notification

Nassar, Lobna; Karray, Fakhri

doi:10.1109/fuzz-ieee.2016.7737801

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…As shown in Figure 1, VANETs, also called V2X (vehicle to everything), mainly includes V2V (vehicle to vehicle) communication and V2I (vehicle to infrastructure) communication [12]. In V2V communication, vehicles must work together to guarantee the dissemination of V2V service notification in time, such as congested road, post crash, road hazard, and road forecast [13], [14]. In V2I communication, RSU is deemed to an important infrastructure to provide network service for vehicles and help vehicles obtain safety, traffic management, and infotainment application [15].…”

Section: Preliminaries a Vanetsmentioning

confidence: 99%

Electronic Payment Schemes Based on Blockchain in VANETs

Deng

Gao

2020

IEEE Access

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Vehicular ad-hoc networks (VANETs) is considered as an important part of intelligent transportation system (ITS). Depending on the interconnection between vehicles and roadside units (RSUs), VANETs can provide a variety of application services for drivers and passengers. Due to the necessary service cost, many applications have to face the problem of how to charge vehicle for the services. This paper, which relies on blockchain technology, takes park toll management system and electronic toll collection system (ETC) as scenarios. Two payment schemes, V-R transaction and V-Rs transaction, are then proposed. The security and performance analysis show that the proposed schemes are efficient and robust.

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Section: Preliminaries a Vanetsmentioning

confidence: 99%

Electronic Payment Schemes Based on Blockchain in VANETs

Deng

Gao

2020

IEEE Access

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“…The occurrence of link breakage Increasing the throughput [61] Fuzzy Logic V2V Developing a trap in the local optimum Reduce link failure and packets loss [62] Fuzzy Logic V2V Limited bandwidth in a dense vehicle environment Achieve High overall network performance [63] Sybil Attack Detection V2V Security threats Propose different novel detection schemes [64] Fuzzy Logic V2V,V2I Interruption caused by information collected by vehicles and obstacles Detect malicious attackers and faulty nodes [65] Fuzzy Logic V2V Vulnerable to many DoS attacks especially the greedy behavior Can be executed by any node and without modification of the IEEE 802.11p standard [66] Fuzzy Logic V2V Serious channel competition Achieve a high accuracy of road congestion detection [67] Fuzzy Logic V2V Reduce the number of fuzzy sets Improve VANET safety services named node opinion and network opinions. A note's malicious level is computed by the previous node and network opinion.…”

Section: B Fuzzy Logic For Network Securitymentioning

confidence: 99%

Intelligent Processing in Vehicular Ad hoc Networks: a Survey

Liu

2019

Preprint

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The intelligent Processing technique is more and more attractive to researchers due to its ability to deal with key problems in Vehicular Ad hoc networks. However, several problems in applying intelligent processing technilogies in VANETs remain open. The existing applications are comprehensively reviewed and discussed, and classified into different categories in this paper. Their strategies, advantages/disadvantages, and performances are elaborated. By generalizing different tactics in various applications related to different scenarios of VANETs and evaluating their performances, several promising directions for future research have been suggested.

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“…In this part, we introduce a comprehensive fuzzy assessment [15]. As there is no clear boundary between traffic states, it is appropriate to use a comprehensive fuzzy assessment and its membership function to estimate road congestion [16,17]. This method has a simple principle and requires a small amount of calculation.…”

Section: Comprehensive Fuzzy Assessmentmentioning

confidence: 99%

“…According to the standards in Table 4, the membership function of ρ is shown in Fig. 3 and is expressed as equation 14- (17). Similarly, the membership function of ∆t can be expressed in Fig.…”

Section: ) Select Membership Functionmentioning

confidence: 99%

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

2018

KSII TIIS

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Recently, road traffic congestion is becoming a serious urban phenomenon, leading to massive adverse impacts on the ecology and economy. Therefore, solving this problem has drawn public attention throughout the world. One new promising solution is to take full advantage of vehicular ad hoc networks (VANETs). In this study, we propose a new traffic congestion detection and quantification method based on vehicle clustering and fuzzy assessment in VANET environment. To enhance real-time performance, this method collects traffic information by vehicle clustering. The average speed, road density, and average stop delay are selected as the characteristic parameters for traffic state identification. We use a comprehensive fuzzy assessment based on the three indicators to determine the road congestion condition. Simulation results show that the proposed method can precisely reflect the road condition and is more accurate and stable compared to existing algorithms.

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Fuzzy Logic in VANET context aware Congested Road and Automatic Crash Notification

Cited by 8 publications

References 4 publications

Electronic Payment Schemes Based on Blockchain in VANETs

Electronic Payment Schemes Based on Blockchain in VANETs

Intelligent Processing in Vehicular Ad hoc Networks: a Survey

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

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