The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Recent advances in connected and automated vehicles
Open accessAbstract
Connected and automated vehicle (CAV) is a transformative technology that has great potential to change our daily life. Therefore, CAV related research has been advanced significantly in recent years. This paper does a comprehensive review on five selected subjects that lie in the heart of CAV research: (i) inter-CAV communications; (ii) security of CAVs; (iii) intersection control for CAVs; (iv) collision-free navigation of CAVs; and (v) pedestrian detection and protection. It is believed that these topics are essential to ensure the success of CAVs and need to be better understood. For inter-CAV communications, this paper focuses on both Dedicated Short Range Communications (DSRC) and the future 5G cellular technologies; for security of CAVs, this paper discusses both passive and active attacks and the existing solutions; for intersection control, this paper summarizes the pros and cons of both centralized and decentralized approaches; for collision avoidance, this paper concentrates on four subareas: maneuverability, vehicle networking, control confliction, and motorcycles; for pedestrian detection, this paper covers sensor, radar, and computer vision based approaches. Under each topic, this paper not only shows the state-of-the-art, but also unveils potential future research directions. By establishing connections among these subjects, this paper shows how they interact with each other and how they can be integrated into a seamless user experience. It is believed that the literature covered and conclusions drawn in this paper are very helpful to CAV researchers, application engineers, and policy makers.
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Cites
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
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Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021) · Sensors · doi:10.3390/s21051709 · Cited by 281
Implications of automated vehicles for physical road environment: A comprehensive review
Tengilimoglu, O., Carsten, O., & Wadud, Z. (2023) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2022.102989 · Cited by 149
Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective
Bzai, J., Alam, F., Dhafer, A., Bojović, M., Altowaijri, S. M., Niazi, I. K., & Mehmood, R. (2022) · Electronics · doi:10.3390/electronics11172676 · Cited by 110
The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review
Pan, Y., Wu, Y., Xu, L., Xia, C., & Olson, D. L. (2024) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.129454 · Cited by 102
Metadata
- Authors
- Elliott, D., Keen, W., & Miao, L.
- Venue
- Journal of Traffic and Transportation Engineering (English Edition)
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 6
- Issue
- 2
- Pages
- 109-131
- ISSN
- 2095-7564 (ISSN-L)
- OpenAlex
- W2914917317
- Cited by
- 253
- References
- 65
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- diamond
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