Kuru, K and Khan, W (2020) A Framework for the Synergistic Integration of Fully Autonomous Ground Vehicles With Smart City. IEEE Access, 9. pp. 923-948. ISSN 2169-3536

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Abstract

Most of the vehicle manufacturers aim to deploy level-5 fully autonomous ground vehicles (FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors, actuators, telematics and Artificial Intelligence (AI) gained from the level-3 and level-4 autonomy. FAGVs by executing non-trivial sequences of events with decimetre-level accuracy live in Smart City (SC) and their integration with all the SC components and domains using real-time data analytics is urgent to establish better swarm intelligent systems and a safer and optimised harmonious smart environment enabling cooperative FAGVs-SC automation systems. The challenges of urbanisation, if unmet urgently, would entail severe economic and environmental impacts. The integration of FAGVs with SC helps improve the sustainability of a city and the functional and efficient deployment of hand over wheels on robotized city roads with behaviour coordination. SC can enable the exploitation of the full potential of FAGVs with embedded centralised systems within SC with highly distributed systems in a concept of Automation of Everything (AoE). This article proposes a synergistic integrated FAGV-SC holistic framework - FAGVinSCF in which all the components of SC and FAGVs involving recent and impending technological advancements are moulded to make the transformation from today's driving society to future's next-generation driverless society smoother and truly make self-driving technology a harmonious part of our cities with sustainable urban development. Based on FAGVinSCF, a simulation platform is built both to model the varying penetration levels of FAGV into mixed traffic and to perform the optimal self-driving behaviours of FAGV swarms. The results show that FAGVinSCF improves the urban traffic flow significantly without huge changes to the traffic infrastructure. With this framework, the concept of Cooperative Intelligent Transportation Systems (C-ITS) is transformed into the concept of Automated ITS (A-ITS). Cities currently designed for cars can turn into cities developed for citizens using FAGVinSCF enabling more sustainable cities.

Item Type:	Article
Uncontrolled Keywords:	Science & Technology; Technology; Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications; Computer Science; Engineering; Autonomous vehicles; driverless vehicles; smart city; crowdsourcing; cloud platform; fog platform; mobile-edge computing (MEC); Internet of Everything (IoE); automation of everything (AoE); DRIVERLESS CARS CHALLENGES; AUTOMATED VEHICLES; DATA ANALYTICS; SYSTEMS; FOG; OPPORTUNITIES; ARCHITECTURE; MANAGEMENT; MOBILITY; MODELS; Science & Technology; Technology; Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications; Computer Science; Engineering; Autonomous vehicles; driverless vehicles; smart city; crowdsourcing; cloud platform; fog platform; mobile-edge computing (MEC); Internet of Everything (IoE); automation of everything (AoE); 08 Information and Computing Sciences; 09 Engineering; 10 Technology
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Divisions:	Computer Science & Mathematics
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
SWORD Depositor:	A Symplectic
Date Deposited:	21 Sep 2022 07:52
Last Modified:	21 Sep 2022 08:00
DOI or ID number:	10.1109/ACCESS.2020.3046999
URI:	https://researchonline.ljmu.ac.uk/id/eprint/17623

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