Intelligent Transportation Systems (ITS): A Survey Of What It Is, What It Does, Where It Faulters, And Where To Go With It

The world of technology continues to find itself incorporated into an ever-expanding number of fields with a rapidly increasing number of applications. One of these is transportation, under the umbrella of Intelligent Transportation Systems (ITS). The intention of this application at a macro scale is to increase the surface transport safety, efficiency, and convenience. As technological improvements continue to be made, ITS grows in popularity and implementation, and is now found in many cities across the United States. Correct implementation of ITS could have huge benefits in the transportation sector, but without thinking about its implications now, there is a risk of worsening already existing issues. Much of the information regarding ITS is scattered through various research publications making it difficult to understand what it is and what effects it has on the places it is implemented in. The purpose of this paper is to provide an easily accessible reference document that gives a general overview of these factors, allowing decision makers to gain a quick understanding of the topic and thus make better informed choices. Some directions for further research are also given to illustrate what is currently unknown about ITS and where potential improvements could be made

MobileTrust: Secure Knowledge Integration in VANETs

Vehicular Ad hoc NETworks (VANET) are becoming popular due to the emergence of the Internet of Things and ambient intelligence applications. In such networks, secure resource sharing functionality is accomplished by incorporating trust schemes. Current solutions adopt peer-to-peer technologies that can cover the large operational area. However, these systems fail to capture some inherent properties of VANETs, such as fast and ephemeral interaction, making robust trust evaluation of crowdsourcing challenging. In this article, we propose MobileTrust—a hybrid trust-based system for secure resource sharing in VANETs. The proposal is a breakthrough in centralized trust computing that utilizes cloud and upcoming 5G technologies to provide robust trust establishment with global scalability. The ad hoc communication is energy-efficient and protects the system against threats that are not countered by the current settings. To evaluate its performance and effectiveness, MobileTrust is modelled in the SUMO simulator and tested on the traffic features of the small-size German city of Eichstatt. Similar schemes are implemented in the same platform to provide a fair comparison. Moreover, MobileTrust is deployed on a typical embedded system platform and applied on a real smart car installation for monitoring traffic and road-state parameters of an urban application. The proposed system is developed under the EU-founded THREAT-ARREST project, to provide security, privacy, and trust in an intelligent and energy-aware transportation scenario, bringing closer the vision of sustainable circular economy

Privacy Management and Optimal Pricing in People-Centric Sensing

With the emerging sensing technologies such as mobile crowdsensing and Internet of Things (IoT), people-centric data can be efficiently collected and used for analytics and optimization purposes. This data is typically required to develop and render people-centric services. In this paper, we address the privacy implication, optimal pricing, and bundling of people-centric services. We first define the inverse correlation between the service quality and privacy level from data analytics perspectives. We then present the profit maximization models of selling standalone, complementary, and substitute services. Specifically, the closed-form solutions of the optimal privacy level and subscription fee are derived to maximize the gross profit of service providers. For interrelated people-centric services, we show that cooperation by service bundling of complementary services is profitable compared to the separate sales but detrimental for substitutes. We also show that the market value of a service bundle is correlated with the degree of contingency between the interrelated services. Finally, we incorporate the profit sharing models from game theory for dividing the bundling profit among the cooperative service providers.Comment: 16 page