Abstract
Three basic enablers for connected and automated vehicles (CAVs) are wireless networking, sensing, and control. Tightly coupled with the physical process of wireless signal propagation, vehicle movement, and environment, however, CAV wireless networking, sensing, and control are subject to complex cyber-physical uncertainties. To address the challenges, we propose an integrated, cross-layer framework for taming cyber-physical uncertainties, within which we develop novel algorithms and methodologies for addressing the interdependencies between networking, sensing, control, and physical processes. To enable high-fidelity evaluation and thus the deployment and adoption of new CAV technologies, we develop a software-defined CAV infrastructure for conducting CAV experiments using vehicles in real-world traffic so that properties of V2X communication, vehicles, traffic, road, and environment are captured at high-fidelity.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Johri R, Rao J, Yu H, Zhang H (2015) A multi-scale spatiotemporal perspective of connected and automated vehicles: applications and wireless networking. arXiv:1508.05344
Zhang H, Che X, Liu X, Ju X (2014) Adaptive instantiation of the protocol interference model in wireless networked sensing and control. ACM Trans Sensor Netw 10(2)
Zhang H, Liu X, Li C, Chen Y, Che X, Lin F, Wang LY, Yin G (2015) Scheduling with predictable link reliability for wireless networked control. In: IEEE/ACM IWQoS
Hellerstein J, Diao Y, Parekh S, Tilbury DM (2004) Feedback control of computing systems. Wiley-IEEE Press
Liu X, Chen Y, Zhang H (2015) A maximal concurrency and low latency distributed scheduling protocol for wireless sensor networks. Int J Distrib Sensor Netw (Hindawi)
Che X, Zhang H, Ju X (2014) The case for addressing the ordering effect in interference-limited wireless scheduling. IEEE Trans Wireless Commun
Tobagi F, Kleinrock L (1975) Packet switching in radio channels: Part II–the hidden terminal problem in carrier sense multiple-access and the busy-tone solution. IEEE Trans Commun COM-23(12)
Shladover S, Desoer C, Hedrick J, Tomizuka M, Walrand J, Zhang W, McMahon D, Peng H, Sheikholeslam S, McKeown N (1991) Automated vehicle control developments in the PATH program. IEEE Trans Vehicular Tech 40:114–130
Li SE, Zheng Y, Li K, Wang J (2015) An overview of vehicular platoon control under the four-component framework. In: IEEE intelligent vehicles symposium, 2015
Li SE, Zheng Y, Li K, Wang J (2015) Scalability limitation of homogeneous vehicular platoon under undirected information flow topology and constant spacing policy. In: Chinese control conference, 2015
Yang Z, Yin G, Wang YL, Zhang H (2013) Near-optimal mean-variance controls under two-time-scale formulations and applications. Stochastics, 723–741
Markowitz H (1952) Portfolio selection. J Finance 77–91
Zhou XY, Li D (2000) Continuous-time mean-variance portfolio selection: a stochastic LQ framework. Appl Math Optim 19–33
Zhou XY, Yin G (2003) Markovitz’s mean-variance portfolio selection with regime switching: a continuous time model. SIAM J Control Optim 1466–1482
Wang Y, Jin H, Li C, Zhang H, Hua J, Rao J, Riley G, Holt A, Gossman P (2015) Symbiotic CAV Evolution: software-defined infrastructure and case study in public safety (working paper)
Wang Y, Jin H, Li C, Zhang H, Hua J (2015) CAV applications and networks: wireless networked 3D mapping for public safety. https://youtu.be/y_QxXA0MJzI
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zhang, H. et al. (2016). Trustworthy Foundation for CAVs in an Uncertain World: From Wireless Networking, Sensing, and Control to Software-Defined Infrastructure. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 3. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-40503-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-40503-2_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40502-5
Online ISBN: 978-3-319-40503-2
eBook Packages: EngineeringEngineering (R0)