Trends in Automotive Communication Systems

Extended and updated version of the 2005 IEEE Proceedings paper with the same title.The use of networks for communications between the Electronic Control Units (ECU) of a vehicle in production cars dates from the beginning of the 90s. The specific requirements of the different car domains have led to the development of a large number of automotive networks such as LIN, J1850, CAN, FlexRay, MOST, etc.. This chapter first introduces the context of in-vehicle embedded systems and, in particular, the requirements imposed on the communication systems. Then, a review of the most widely used, as well as the emerging automotive networks is given. Next, the current efforts of the automotive industry on middleware technologies which may be of great help in mastering the heterogeneity, are reviewed, with a special focus on the proposals of the AUTOSAR consortium. Finally, we highlight future trends in the development of automotive communication systems

Trends in Automotive Communication Systems

http://www.ieee.org/International audienceThe use of networks for communications between the Electronic Control Units (ECU) of a vehicle in production cars dates from the beginning of the 90s. The specific requirements of the different car domains have led to the development of a large number of automotive networks such as LIN, J1850, CAN, TTP/C, FlexRay, MOST, IDB1394, etc.. This paper first introduces the context of in-vehicle embedded systems and, in particular, the requirements imposed on the communication systems. Then, a comprehensive review of the most widely used, as well as the emerging automotive networks is given. Next, the current efforts of the automotive industry on middleware technologies, which may be of great help in mastering the heterogeneity, are reviewed. Finally, we highlight future trends in the development of automotive communication systems

Fifth-Generation Technologies for the Connected Car:Capable Systems for Vehicle-to-Anything Communications

Two strong technology trends, one in the mobile communications industry and the other in the automotive industry, are becoming interwoven and will jointly provide new capabilities and functionality for upcoming intelligent transport systems (ITSs) and future driving. The automotive industry is on a path where vehicles are continuously becoming more aware of their environment due to the addition of various types of integrated sensors. At the same time, the amount of automation in vehicles increases, which, with some intermediate steps, will eventually culminate in fully automated driving without human intervention. Along this path, the amount of interactions rises, both in-between vehicles and between vehicles and other road users, and with an increasingly intelligent road infrastructure. As a consequence, the significance and reliance on capable communication systems for vehicleto-anything (V2X) communication is becoming a key asset that will enhance the performance of automated driving and increase further road traffic safety with combination of sensor-based technologies [1]

Business Case and Technology Analysis for 5G Low Latency Applications

A large number of new consumer and industrial applications are likely to change the classic operator's business models and provide a wide range of new markets to enter. This article analyses the most relevant 5G use cases that require ultra-low latency, from both technical and business perspectives. Low latency services pose challenging requirements to the network, and to fulfill them operators need to invest in costly changes in their network. In this sense, it is not clear whether such investments are going to be amortized with these new business models. In light of this, specific applications and requirements are described and the potential market benefits for operators are analysed. Conclusions show that operators have clear opportunities to add value and position themselves strongly with the increasing number of services to be provided by 5G.Comment: 18 pages, 5 figure

Improving root cause analysis through the integration of PLM systems with cross supply chain maintenance data

The purpose of this paper is to demonstrate a system architecture for integrating Product Lifecycle Management (PLM) systems with cross supply chain maintenance information to support root-cause analysis. By integrating product-data from PLM systems with warranty claims, vehicle diagnostics and technical publications, engineers were able to improve the root-cause analysis and close the information gaps. Data collection was achieved via in-depth semi-structured interviews and workshops with experts from the automotive sector. Unified Modelling Language (UML) diagrams were used to design the system architecture proposed. A user scenario is also presented to demonstrate the functionality of the system

Paving the Roadway for Safety of Automated Vehicles: An Empirical Study on Testing Challenges

The technology in the area of automated vehicles is gaining speed and promises many advantages. However, with the recent introduction of conditionally automated driving, we have also seen accidents. Test protocols for both, conditionally automated (e.g., on highways) and automated vehicles do not exist yet and leave researchers and practitioners with different challenges. For instance, current test procedures do not suffice for fully automated vehicles, which are supposed to be completely in charge for the driving task and have no driver as a back up. This paper presents current challenges of testing the functionality and safety of automated vehicles derived from conducting focus groups and interviews with 26 participants from five countries having a background related to testing automotive safety-related topics.We provide an overview of the state-of-practice of testing active safety features as well as challenges that needs to be addressed in the future to ensure safety for automated vehicles. The major challenges identified through the interviews and focus groups, enriched by literature on this topic are related to 1) virtual testing and simulation, 2) safety, reliability, and quality, 3) sensors and sensor models, 4) required scenario complexity and amount of test cases, and 5) handover of responsibility between the driver and the vehicle.Comment: 8 page

Beyond the Big Leave: The Future of U.S. Automotive Human Resources

Based on industry interviews and trends analyses, forecasts employment levels and hiring nationwide and in Michigan through 2016, and compiles automakers' input on technical needs, hiring criteria, and suggestions for training and education curricula

Peak Car and the Future of Urban Mobility. Exploring 21st century urban trends and their implications for the automotive industry.

For many decades, car manufacturers, urban planners and large parts of society saw the automobile as an integral part of modern life and it was the preferred mobility option for many people. It symbolized freedom, independence and liberation and has frequently been seen as a status symbol. Motorized vehicle travel has grown steadily over the past century but now has started to peak in most developed countries. Demographic changes and an ageing society, the rise of information and communication technologies, changing urban spatial patterns and increased urbanization, changing consumer preferences and fundamental shifts in urban social lifestyles are reducing demand for automobile travel. The question for the automotive industry therefore increasingly becomes one of defining its future role in the 21st century urban transportation. This thesis aimed to explore current urban trends influencing our urban transportation systems. While current mobility issues were briefly looked at, the focus was on understanding urban trends influencing passenger transportation in developed countries. Recent answers and growth strategies of the car industry were mirrored against those trends to find potential shortcomings and mismatches. The research revealed that there is a certain disconnect between the urban trends and how car manufacturers are seeing and responding to the trends. Most of the urban trends described in this thesis were taken into consideration by the car manufacturers in some way. However, in most cases there has been a focus on a technological fix of the challenges and though there are certainly many synergies and advantages to explore through the employment of new technologies, it is most likely not the only answer. The car manufacturers seem to be whistling past the grave yard and are stuck in their need to defend the technologies they have invested in so much. The thesis concludes with implications for the automotive industry as well as urban planners and policy makers and how they can respond to these changing urban trends. The author encourages a more multi-modal approach for our future urban transportation systems as well as more cooperative out-of-the-box thinking by both – private and public sectors

Context-aware adaptation in DySCAS

DySCAS is a dynamically self-configuring middleware for automotive control systems. The addition of autonomic, context-aware dynamic configuration to automotive control systems brings a potential for a wide range of benefits in terms of robustness, flexibility, upgrading etc. However, the automotive systems represent a particularly challenging domain for the deployment of autonomics concepts, having a combination of real-time performance constraints, severe resource limitations, safety-critical aspects and cost pressures. For these reasons current systems are statically configured. This paper describes the dynamic run-time configuration aspects of DySCAS and focuses on the extent to which context-aware adaptation has been achieved in DySCAS, and the ways in which the various design and implementation challenges are met