@article{4bf2b92cd51b434998bbac9628f39a2b,
title = "Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges",
abstract = "An unprecedented proliferation of autonomous driving technologies has been observed in recent years, resulting in the emergence of reliable and safe transportation services. In the foreseeable future, millions of autonomous cars will communicate with each other and become prevalent in smart cities. Thus, scalable, robust, secure, fault-tolerant, and interoperable technologies are required to support such a plethora of autonomous cars. In this article, we investigate, highlight, and report premier research advances made in autonomous driving by devising a taxonomy. A few indispensable requirements for successful deployment of autonomous cars are enumerated and discussed. Furthermore, we discover and present recent synergies and prominent case studies on autonomous driving. Finally, several imperative open research challenges are identified and discussed as future research directions.",
author = "Ibrar Yaqoob and Khan, \{Latif U.\} and Kazmi, \{S. M.Ahsan\} and Muhammad Imran and Nadra Guizani and Hong, \{Choong Seon\}",
note = "Funding Information: AcknoWLedgments This work was partially supported by an Institute of Information \& Communications Technology Planning \& Evaluation (IITP) grant funded by the Korean government (MSIT) (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing), and by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2017R1A2A2A05000995). Dr. CS Hong is the corresponding author. Funding Information: LatIf U. Khan is pursuing his Ph.D. degree in computer engineering at Kyung Hee University (KHU), South Korea. He is working as a leading researcher in the Intelligent Networking Laboratory under a project jointly funded by the prestigious Brain Korea 21st Century Plus and Ministry of Science and ICT, South Korea. He received his MS (electrical engineering) degree with distinction from the University of Engineering and Technology (UET), Peshawar, Pakistan in 2017. His research interests include analytical techniques of optimization and game theory to edge computing and end-to-end network slicing. Funding Information: This work was partially supported by an Institute of Information \& Communications Technology Planning \& Evaluation (IITP) grant funded by the Korean government (MSIT) (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing), and by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF- 2017R1A2A2A05000995). Dr. CS Hong is the corresponding author. Publisher Copyright: {\textcopyright} 2019 IEEE.",
year = "2020",
month = jan,
day = "1",
doi = "10.1109/MNET.2019.1900120",
language = "British English",
volume = "34",
pages = "174--181",
journal = "IEEE Network",
issn = "0890-8044",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}
