Intelligent connected mobility 4.0: Regulatory concepts

The last decade reflects undeniable rapid growth in intelligent connected mobility in the European Union and internationally. Whereas automotive producers united forces to address the projected technical difficulties vis-à-vis the deployment of Intelligent Connected Vehicles through coordinated efforts and partnerships, academia is committed to clarifying fundamental new regulatory concepts to reveal potential and foreseeable legal inconsistencies in such technological development. The lack of a determination of the fundamental legal concepts or the vague and ambiguous determination of essential regulatory concepts creates overall legal uncertainty and is considered an obstacle to ensuring the smooth market penetration of Intelligent Connected Vehicles in the European Union. This article claims its contribution to existing literature by integrating further unambiguous and specific regulatory concepts in the context of the regulation of Intelligent Connected Vehicles. This article addresses: (i) the prerequisites for uniform Intelligent Connected Vehicles’ fundamental regulatory concepts based on complex retrospective analysis vis-à-vis road traffic accidents involving conventional vehicles and (ii) the prototype of regulatory concepts that need to be established and accurately distinguished for intelligent connected mobility 4.0, with the cross-border element at the European Union level.

The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020)

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 Mobility Industry Trends Through the Lens of the Social Analysis: A Multi-Level Perspective Approach

The mobility industry is experiencing an in-depth transformation looking for higher efficiency, and this evolution has relevant impact from the economic and social perspective. Nevertheless, technological and mobility trends involve uncertainty on users, policy makers, and businesses. Thus, the analysis of the technologies and their associated trends is relevant for enabling a general understanding of new features and social benefits that can shape the mobility trends toward a better experience. This paper intends to forecast and understand the impact of the new trends on general public through qualitative research deployed with experts from different European countries. It aims at clarifying the predisposition to adapt daily habits to adopt autonomous and connected vehicles, electrical motorizations and servitization. Those areas of deployment in the mobility industry represent relevant dilemmas in terms of social exchange. Businesses, technical and physical infrastructures, public services and regulations are among those areas highly affected by this evolution. Despite the reported advantages of those trends, those innovations will only be supported by specific groups of population and policy-makers unless they show similar benefits to traditional mobility means. Mobility-as-a-Services will be widespread in parallel with the improvement of the service offered, cost reduction, and geographical coverage.

SDAE+Bi-LSTM-Based Situation Awareness Algorithm for the CAN Bus of Intelligent Connected Vehicles

With a deep connection to the internet, the controller area network (CAN) bus of intelligent connected vehicles (ICVs) has suffered many network attacks. A deep situation awareness method is urgently needed to judge whether network attacks will occur in the future. However, traditional shallow methods cannot extract deep features from CAN data with noise to accurately detect attacks. To solve these problems, we developed a SDAE+Bi-LSTM based situation awareness algorithm for the CAN bus of ICVs, simply called SDBL. Firstly, the stacked denoising auto-encoder (SDAE) model was used to compress the CAN data with noise and extract the deep spatial features at a certain time, to reduce the impact of noise. Secondly, a bidirectional long short-term memory (Bi-LSTM) model was further built to capture the periodic features from two directions to enhance the accuracy of the future situation prediction. Finally, a threat assessment model was constructed to evaluate the risk level of the CAN bus. Extensive experiments also verified the improved performance of our SDBL algorithm.

A Survey on Internet of Vehicle (IoV): A pplications & Comparison of VANETs, IoV and SDN-IoV

The swift evolution of communication network technologies brings the smart connected objects into existence. The objects or things are connected and able to communicate with each other through Internet of Things (IoT). Internet of Vehicle (IoV) are the subset of the IoT technologies that has been implemented to the vehicle. IoV is the evolution of traditional Vehicular Adhoc Networks (VANETs) bringing new technologies to the smart connected vehicles. IoV network communication is purposedly to serve a real time data exchanged on roads between the vehicles and roads, vehicles and vehicles, vehicle and sensors, and vehicles and everything through different network technologies. There are significant differences between IoV, SDN-IoV and VANETs in term of network architecture, features, and applications that available. IoV and IoV-SDN is using different network framework giving different flexibility and scalability. In term of features and applications, IoV and IoV-SDN are having more wider and broad wireless connection technology in contrast with VANETs. In this survey paper, the survey will focus on the introduction to SDN, and differences of application and features in IoV, SDN-IoV and VANETs.