Design of a System for Safe Driving Based on the Internet of Vehicles and the Fusion of Multi-aspects Information

2013 ◽  
Author(s):  
Cheng Cheng ◽  
Wu Zongxin
Keyword(s):  
The Internet ◽  
Safe Driving ◽  
Internet Of Vehicles

scholarly journals Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4926 ◽  
Author(s):  
Nan Ding ◽  
Haoxuan Ma ◽  
Chuanguo Zhao ◽  
Yanhua Ma ◽  
Hongwei Ge
Keyword(s):  
Cellular Automata ◽  
Anomaly Detection ◽  
Real Time ◽  
Safety Data ◽  
Gaussian Mixture ◽  
The Internet ◽  
Data Sets ◽  
Driving Style ◽  
Safe Driving ◽  
Internet Of Vehicles

The data validity of safe driving in the Internet of Vehicles (IoV) is the basis of improving the safety of vehicles. Different from a traditional information systems, the data anomaly analysis of vehicle safety driving faces the diversity of data anomaly and the randomness and subjectivity of the driver’s driving behavior. How to combine the characteristics of the IOV data with the driving style analysis to provide effective real-time anomaly data detection has become an important issue in the IOV applications. This paper aims at the critical safety data analysis, considering the large computing cost generated by the real-time anomaly detection of all data in the data package. We preprocess it through the traffic cellular automata model which is built to achieve the ideal abnormal detection effect with limited computing resources. On the basis of this model, the Anomaly Detection based on Driving style (ADD) algorithm is proposed to realize real-time and online detection of anomaly data related to safe driving. Firstly, this paper designs the driving coefficient and proposes a driving style quantization model to represent the driving style of the driver. Then, based on driving style quantization model and vehicle driving state information, a data anomaly detection algorithm is developed by using Gaussian mixture model (GMM). Finally, combining with the application scenarios of multi-vehicle collaboration in the Internet of Vehicles, this paper uses real data sets and simulation data sets to analyze the effectiveness of the proposed ADD algorithm.

scholarly journals Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives

Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 108-140
Author(s):  
Paulo Álvares ◽  
Lion Silva ◽  
Naercio Magaia
Keyword(s):  
Traffic Congestion ◽  
Resource Constraints ◽  
Smart Cities ◽  
The Internet ◽  
Connected Vehicle ◽  
Sensitive Data ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Security Properties ◽  
Vehicle Networks

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.

Toward New Intelligent Architectures for the Internet of Vehicles

2021 ◽  
pp. 193-215
Author(s):  
Léo Mendiboure ◽  
Mohamed Aymen Chalouf ◽  
Francine Krief
Keyword(s):  
The Internet ◽  
Internet Of Vehicles

Data Aggregation in UAV-aided Random Access for the Internet of Vehicles

2021 ◽  
pp. 1-1
Author(s):  
Lin Bai ◽  
Jiexun Liu ◽  
Jiaxing Wang ◽  
Rui Han ◽  
Jinho Choi
Keyword(s):  
Data Aggregation ◽  
Random Access ◽  
The Internet ◽  
Internet Of Vehicles

scholarly journals Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]

2018 ◽  
Vol 7 (3.12) ◽  
pp. 545
Author(s):  
Risabh Mishra ◽  
M Safa ◽  
Aditya Anand
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Automobile Industry ◽  
Information Exchange ◽  
Large Scale ◽  
Intelligent Transportation System ◽  
Information Service ◽  
The Internet ◽  
Internet Of Vehicles ◽  
The Internet Of Things

Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on  idea of three networks combining into one, we define  Internet of Vehicles as a large-scale distributed system to wireless communication and information exchange between vehicle2X (X: vehicle, road, human and internet).It is a combined   network for supporting intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control, representation of an application of the Internet of Things (IoT) technology for intelligent transportation system (ITS).  

A novel load balancing strategy of software-defined cloud/fog networking in the Internet of Vehicles

2016 ◽  
Vol 13 (Supplement2) ◽  
pp. 140-149 ◽  
Author(s):  
Xiuli He ◽  
Zhiyuan Ren ◽  
Chenhua Shi ◽  
Jian Fang
Keyword(s):  
Load Balancing ◽  
The Internet ◽  
Internet Of Vehicles

The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities

2021 ◽  
Vol 47 ◽  
pp. 101477
Author(s):  
Xianhao Shen ◽  
Haitao Yu ◽  
Xiaoyong Liu ◽  
Qiu Bin ◽  
Ashish Kr. Luhach ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Smart Cities ◽  
The Internet ◽  
Internet Of Vehicles
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