Purpose
The rapid development of Intelligent and Connected Vehicles (ICVs) has boomed a new round of global technological and industrial revolution in recent decades. The Technology Roadmap of Intelligent and Connected Vehicles (2020) comprehensively analyzes the technical architecture, research status and future trends of ICVs. The methodology that supports the roadmap should get studied.
Design/methodology/approach
This paper interprets the roadmap from the aspects of strategic significance, technical content and characteristics of the roadmap, and evaluates the impact of the roadmap on researchers, industries and international strategies.
Findings
The technical architecture of ICVs as the “three rows and two columns” structure is studied, the methodology that supported the roadmap is explained with a case study and the influence of key technologies with proposed development routes is analyzed.
Originality/value
This paper could help researchers understand both thoughts and methodologies behind the technology roadmap of ICVs.
The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast development of network, sensors, as well as computing technology, it becomes realizable to have vehicles driving autonomously. To achieve autonomous driving, several steps, including environment perception, path-planning, and dynamic control, need to be done. However, vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions. Intelligent and connected vehicles (ICV) cloud control system (CCS) has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and optimize traffic flow in intelligent transportation. This paper systematically investigated the concept of cloud control system from cloud related applications on ICVs, and cloud control system architecture design, as well as its core technologies development. Based on the analysis, the challenges and suggestions on cloud control system development have been addressed.
Abstract. Cloud computing as a novel technique which aims to analyze and operate big data and complex computing is playing a significant role in daily life. One important function it holds is the ability of sharing resources that include infrastructures, software, applications, and business processes. Virtualization is a core technology for enabling cloud resource sharing. However, most of the existing cloud computing platform not formally adopted Service Oriented Architecture they will be more flexible, extensible, reusable. By using the power of SOA and virtualization in the context of Cloud Computing ecosystem, this paper presents architectural principles and derives interconnected architectural modules to form a reusable and customizable Cloud Computing Open Architecture. We conduct case study to deeply analyze the business and chief principle value of services provided by the Internet. We also present some potential value added services on resource sharing based on our proposed cloud computing platform.
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