Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

The automotive industry has been incorporating various technological advancement on top-end versions of the vehicle order to improvise the degree of comfortability as well as enhancing the safer driving system. Infotainment system is one such pivotal system which not only makes the vehicle smart but also offers abundance of information as well as entertainment to the driver and passenger. The capability to offer extensive relay of service through infotainment system is highly dependent on vehicular adhoc network as well as back end support of cloud environment. However, it is know that such legacy system of vehicular adhoc network is also characterized by various problems associated with channel capacity, latency, heterogeneous network processing, and many more. Therefore, this paper offers a comprehensive insight to the research work being carried out towards leveraging the infotainment system in order to obtain the true picture of strength, limitation, and open end problems associated with infotainment system

Future cities and autonomous vehicles: analysis of the barriers to full adoption

The inevitable upcoming technology of autonomous vehicles (AVs) will affect our cities and several aspects of our lives. The widespread adoption of AVs repose at crossing distinct barriers that prevent their full adoption. This paper presents a critical review of recent debates about AVs and analyse the key barriers to their full adoption. This study has employed a mixed research methodology on a selected database of recently published research works. Thus, the outcomes of this review integrate the barriers into two main categories; (1) User/Government perspectives that include (i) Users' acceptance and behaviour, (ii) Safety, and (iii) Legislation. (2) Information and Communication Technologies (ICT) which include (i) Computer software and hardware, (ii) Communication systems V2X, and (iii) accurate positioning and mapping. Furthermore, a framework of barriers and their relations to AVs system architecture has been suggested to support future research and technology development

Named Data Networking in Vehicular Ad hoc Networks: State-of-the-Art and Challenges

International audienceInformation-Centric Networking (ICN) has been proposed as one of the future Internet architectures. It is poised to address the challenges faced by today's Internet that include, but not limited to, scalability, addressing, security, and privacy. Furthermore, it also aims at meeting the requirements for new emerging Internet applications. To realize ICN, Named Data Networking (NDN) is one of the recent implementations of ICN that provides a suitable communication approach due to its clean slate design and simple communication model. There are a plethora of applications realized through ICN in different domains where data is the focal point of communication. One such domain is Intelligent Transportation System (ITS) realized through Vehicular Ad hoc NETwork (VANET) where vehicles exchange information and content with each other and with the infrastructure. To date, excellent research results have been yielded in the VANET domain aiming at safe, reliable, and infotainment-rich driving experience. However, due to the dynamic topologies, host-centric model, and ephemeral nature of vehicular communication, various challenges are faced by VANET that hinder the realization of successful vehicular networks and adversely affect the data dissemination, content delivery, and user experiences. To fill these gaps, NDN has been extensively used as underlying communication paradigm for VANET. Inspired by the extensive research results in NDN-based VANET, in this paper, we provide a detailed and systematic review of NDN-driven VANET. More precisely, we investigate the role of NDN in VANET and discuss the feasibility of NDN architecture in VANET environment. Subsequently, we cover in detail, NDN-based naming, routing and forwarding, caching, mobility, and security mechanism for VANET. Furthermore, we discuss the existing standards, solutions, and simulation tools used in NDN-based VANET. Finally, we also identify open challenges and issues faced by NDN-driven VANET and highlight future research directions that should be addressed by the research community

Realization of VANET-Based cloud services through named data networking

Connected car technology (also referred to as VANET) has gradually paved its way to legislation in several countries and soon will be followed by mass-scale deployment. However, the race between the advancements in technologies and utilization of the available resources have left a question mark on the future of pure VANET. Therefore, the research community together with academia and industry have foreseen the evolution of VANET into VANET-based clouds. The data- or content-centric communication paradigm is the point of convergence in these technologies because the content is shared among different nodes in different forms such as infotainment or safety. However, the current IP-based networking is not an ideal choice for content-centric applications because of its larger overhead for establishing, maintaining, and securing the path, addressing complexity, non-scalability for content, routing and mobility management overhead, and so on. Therefore, the limitations and shortcomings of current IP-based networking and the need for efficient content delivery advocate for a paradigm shift. To this end, a new content-centric networking paradigm, namely NDN, has been employed to address the aforementioned issues related to content-centric networking while using IP-based networking. In this article, we foresee the integration of VANET-based clouds with NDN called NDN-VC for reliable, efficient, robust, and safe intelligent transportation systems. We particularly aim at the architecture and concise naming mechanism for NDN-VC. Furthermore, we also outline the unique future challenges faced by the NDN-VC. © 1979-2012 IEEE.1

An adaptive urban planning framework to support autonomous car technologies

In the last few decades, there has been increased discussion around smart mobility and the development of autonomous vehicles (AVs). The upcoming technology of self-driving vehicles has the potential to improve the quality of urban living and enhance sustainability, but our cities are not yet ready to adopt AVs. The physical infrastructure and legislative frameworks required are not yet in place, and public attitudes towards AVs are unclear. Although a great deal of current discussion revolves around the technical aspects of self-driving vehicles and technological maturity, there is a lack of research examining the full range of barriers to AV adoption and the potential impacts on urban planning. In order to begin to fill this gap, this study explores the barriers to full AV adoption in detail and develops an adaptive urban framework to assist urban planners, citizens, politicians, and stakeholders in their planning decision-making around AVs. To achieve this aim, the study adopts a mixed-methods research methodology following the multilevel model triangulation research design, with four distinct implementation phases. In Phase One, document analysis and content analysis is carried out to identify and analyse the barriers to the adoption of AVs in today’s cities and to analyse AV vehicle specifications and assess their potential impact on the urban transportation infrastructure. The analysis identifies key barriers in the following areas: 1) Safety; 2) User acceptance; 3) Regulations and ethics; 4) Accurate positioning & mapping; 5) Computer software & hardware; and 6) Communication Systems (Networks). The outcomes of this phase contribute to the development of a framework of barriers to the full adoption of AVs combined with the AV system architecture, tracing their interrelations, and an initial list of recommendations. In Phase Two, a semi-structured survey targeting experts in a range of disciplines associated with AVs is used to validate the framework developed in Phase One and to determine the possible impacts on city planning and transportation infrastructure of a hypothetical journey through the city of Nottingham made by a fully autonomous vehicle (Level 4). This phase reveals that the majority of experts believe that both existing design principles and design guidance will be affected, with street elements such as roundabouts/intersections, zebra crossings, charging points, on-street parking, road signs, and drop points most severely affected. For instance, 61% of experts agree that AVs’ hubs should be in each neighborhood. 19% of experts argue that manual driving should be banned. In Phase Three, a structured survey targeting members of the public in Nottingham is used to analyse current public attitudes and behaviours in respect of AVs and to begin to identify factors which might drive AV adoption in future. 57% of people are expected to share AVs and 64% are expected to own them in the city. In terms of data privacy, 46% of people disagree with sharing their data. The final phase of the research involves combining the outcomes of the previous phases to create the final adaptive urban planning framework to support future planning decision-making around AVs. A detailed list of recommendations to address the technical, social and legislative barriers identified is also proposed. The study concludes by suggesting avenues for subsequent research to build on these outcomes and further support the adoption of AVs as part of moves to promote smart mobility and enhance the quality of life in our cities