A reference model for the timing analysis of heterogeneous automotive networks

Lange, Rodrigo; Vasques, Francisco

doi:10.1016/j.csi.2015.10.004

Cited by 8 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LIN, FlexRay and Ethernet, heterogeneous networks have been lately designed [64]. For instance, the Flex‐CAN architecture was regarded in [65] as advantageous to reinforce the CAN with high FlexRay determinism. Gateway components are indispensable to utilise several communication protocols side‐by‐side with the CAN [66].…”

Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

See 1 more Smart Citation

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

View full text Add to dashboard Cite

The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

show abstract

Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

“…The authors involved the impact of SW and HW limitations in their models. The response time of gateways was explored in [65] to outline end‐to‐end delays of heterogeneous networks including the CAN. Moreover, the role of ‘component local analysis’ in anticipating correct message transmission time was focused on.…”

Section: Can Real‐time Analysismentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

View full text Add to dashboard Cite

show abstract

“…This seems like a natural cut and we therefore note this partitioning for our data model. We will however see, that the network communication in todays automotive communication clusters has some properties which are essential for end-to-end latency analysis but not covered by the model proposed in [82,81].…”

Section: Timing Analysis Of Vehicular Networkmentioning

confidence: 99%

“…Another system model from the scientific community is the one introduced and used in [82,81]. It has a strong focus on network transmission and is less abstract than the model underlying CPA.…”

Section: Timing Analysis Of Vehicular Networkmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Analysis of Automotive Cyber-physical Systems

Friese¹

View full text Add to dashboard Cite

Based on advances in scheduling analysis in the 1970s, a whole area of research has evolved: formal end-to-end latency analysis in real-time systems. Although multiple approaches from the scientific community have successfully been applied in industrial practice, a gap is emerging between the means provided by formally backed approaches and the need of the automotive industry where cyber-physical systems have taken over from classic embedded systems. They are accompanied by a shift to heterogeneous platforms build upon multicore architectures. Scien- tific techniques are often still based on too simple system models and estimations on important end-to-end latencies have only been tightened recently. To this end, we present an expressive system model and formally describe the problem of end-to-end latency analysis in modern automotive cyber-physical systems. Based on this we examine approaches to formally estimate tight end-to-end latencies in Chapter 4 and Chapter 5. The de- veloped approaches include a wide range of relevant systems. We show that our approach for the estimation of latencies of task chains dominates existing approaches in terms of tightness of the results. In the last chapter we make a brief digression to measurement analysis since measuring and simulation is an important part of verification in current industrial practice.

show abstract