How to Achieve Traffic Safety with LTE and Edge Computing

Decentralized Trusted Data Sharing Management on Internet of Vehicle Edge Computing (IoVEC) Networks Using Consortium Blockchain

Sensors ◽

10.3390/s21072410 ◽

2021 ◽

Vol 21 (7) ◽

pp. 2410

Author(s):

Muhammad Firdaus ◽

Sandi Rahmadika ◽

Kyung-Hyune Rhee

Keyword(s):

Data Sharing ◽

Data Storage ◽

Traffic Safety ◽

Network Performance ◽

Intelligent Transportation System ◽

Edge Computing ◽

The Internet ◽

Smart Vehicles ◽

The Incentive Mechanism ◽

Trusted Data

The emergence of the Internet of Vehicles (IoV) aims to facilitate the next generation of intelligent transportation system (ITS) applications by combining smart vehicles and the internet to improve traffic safety and efficiency. On the other hand, mobile edge computing (MEC) technology provides enormous storage resources with powerful computing on the edge networks. Hence, the idea of IoV edge computing (IoVEC) networks has grown to be an assuring paradigm with various opportunities to advance massive data storage, data sharing, and computing processing close to vehicles. However, the participant’s vehicle may be unwilling to share their data since the data-sharing system still relies on a centralized server approach with the potential risk of data leakage and privacy security. In addition, vehicles have difficulty evaluating the credibility of the messages they received because of untrusted environments. To address these challenges, we propose consortium blockchain and smart contracts to accomplish a decentralized trusted data sharing management system in IoVEC. This system allows vehicles to validate the credibility of messages from their neighboring by generating a reputation rating. Moreover, the incentive mechanism is utilized to trigger the vehicles to store and share their data honestly; thus, they will obtain certain rewards from the system. Simulation results substantially display an efficient network performance along with forming an appropriate incentive model to reach a decentralized trusted data sharing management of IoVEC networks.

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Exploiting Mobile Edge Computing for Enhancing Vehicular Applications in Smart Cities

Sensors ◽

10.3390/s19051073 ◽

2019 ◽

Vol 19 (5) ◽

pp. 1073 ◽

Cited By ~ 2

Author(s):

Hesham El-Sayed ◽

Moumena Chaqfeh

Keyword(s):

Traffic Safety ◽

Intelligent Transportation Systems ◽

Vehicular Networks ◽

Data Dissemination ◽

Smart Cities ◽

Transportation Systems ◽

Edge Computing ◽

Communication Overhead ◽

Mobile Edge Computing ◽

Communication Frameworks

Mobile edge computing (MEC) has been recently proposed to bring computing capabilities closer to mobile endpoints, with the aim of providing low latency and real-time access to network information via applications and services. Several attempts have been made to integrate MEC in intelligent transportation systems (ITS), including new architectures, communication frameworks, deployment strategies and applications. In this paper, we explore existing architecture proposals for integrating MEC in vehicular environments, which would allow the evolution of the next generation ITS in smart cities. Moreover, we classify the desired applications into four major categories. We rely on a MEC architecture with three layers to propose a data dissemination protocol, which can be utilized by traffic safety and travel convenience applications in vehicular networks. Furthermore, we provide a simulation-based prototype to evaluate the performance of our protocol. Simulation results show that our proposed protocol can significantly improve the performance of data dissemination in terms of data delivery, communication overhead and delay. In addition, we highlight challenges and open issues to integrate MEC in vehicular networking environments for further research.

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Risk Attitudes and Behavior Among Norwegian Adolescents

European Psychologist ◽

10.1027/1016-9040.10.1.25 ◽

2005 ◽

Vol 10 (1) ◽

pp. 25-38 ◽

Cited By ~ 11

Author(s):

Hilde Iversen ◽

Torbjørn Rundmo ◽

Hroar Klempe

Keyword(s):

Public Health ◽

Traffic Safety ◽

Behavior Modification ◽

Health Programs ◽

Risk Attitudes ◽

Community Based ◽

Public Health Programs ◽

The Core ◽

And Behavior ◽

Attitudes And Behavior

Abstract. The core aim of the present study is to compare the effects of a safety campaign and a behavior modification program on traffic safety. As is the case in community-based health promotion, the present study's approach of the attitude campaign was based on active participation of the group of recipients. One of the reasons why many attitude campaigns conducted previously have failed may be that they have been society-based public health programs. Both the interventions were carried out simultaneously among students aged 18-19 years in two Norwegian high schools (n = 342). At the first high school the intervention was behavior modification, at the second school a community-based attitude campaign was carried out. Baseline and posttest data on attitudes toward traffic safety and self-reported risk behavior were collected. The results showed that there was a significant total effect of the interventions although the effect depended on the type of intervention. There were significant differences in attitude and behavior only in the sample where the attitude campaign was carried out and no significant changes were found in the group of recipients of behavior modification.

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