The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
Open accessAbstract
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities in 2019. This situation stresses the need for an intelligent transport system (ITS) that improves road safety and security by avoiding human errors with the use of autonomous vehicles (AVs). Therefore, this survey discusses the current development of two main components of an ITS: (1) gathering of AVs surrounding data using sensors; and (2) enabling vehicular communication technologies. First, the paper discusses various sensors and their role in AVs. Then, various communication technologies for AVs to facilitate vehicle to everything (V2X) communication are discussed. Based on the transmission range, these technologies are grouped into three main categories: long-range, medium-range and short-range. The short-range group presents the development of Bluetooth, ZigBee and ultra-wide band communication for AVs. The medium-range examines the properties of dedicated short-range communications (DSRC). Finally, the long-range group presents the cellular-vehicle to everything (C-V2X) and 5G-new radio (5G-NR). An important characteristic which differentiates each category and its suitable application is latency. This research presents a comprehensive study of AV technologies and identifies the main advantages, disadvantages, and challenges.
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Cites
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Cited by
AI enabled applications towards intelligent transportation
Iyer, L. S. (2021) · Transportation Engineering · doi:10.1016/j.treng.2021.100083 · Cited by 315
A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies
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Pawar, V., Zade, N., Vora, D., Khairnar, V., Oliveira, A., Kotecha, K., & Kulkarni, A. (2024) · IEEE Access · doi:10.1109/access.2024.3506815 · Cited by 55
Metadata
- Authors
- Ahangar, M. N., Ahmed, Q. Z., Khan, F. A., & Hafeez, M.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-01-21
- Volume
- 21
- Issue
- 3
- Pages
- 706
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W3121993166
- Cited by
- 373
- References
- 133
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ahangar, M. N., Ahmed, Q. Z., Khan, F. A., & Hafeez, M. (2021). A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges. Sensors. https://doi.org/10.3390/s21030706
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
