Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence

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dc.contributor.authorWang, Fei-Yue
dc.contributor.authorZheng, Nan-Ning
dc.contributor.authorCao, Dongpu
dc.contributor.authorMartinez, Clara Marina
dc.contributor.authorLi, Li
dc.contributor.authorLiu, Teng
dc.date.accessioned2017-10-13T14:23:33Z
dc.date.available2017-10-13T14:23:33Z
dc.date.issued2017-09-15
dc.description.abstractThe emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems U+0028 CPSS U+0029 framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space, considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon U+0028 iHorizon U+0028 and its applications are also presented towards parallel horizon. The proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.en_UK
dc.identifier.citationWang F, Zheng N, Cao D, Martinez C. Li L, Liu T, Parallel driving in CPSS: A unified approach for transport automation and vehicle intelligence, IEEE Caa Journal of Automatica Sinica, Vol. 4, Issue 4, 2017, pp. 577-587en_UK
dc.identifier.issn2329-9266
dc.identifier.urihttp://dx.doi.org/10.1109/JAS.2017.7510598
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12631
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectAutomationen_UK
dc.subjectVehiclesen_UK
dc.subjectTestingen_UK
dc.subjectTrajectoryen_UK
dc.subjectLearning (artificial intelligence)en_UK
dc.subjectRoad transportationen_UK
dc.titleParallel driving in CPSS: a unified approach for transport automation and vehicle intelligenceen_UK
dc.typeArticleen_UK

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