Highway 4.0: digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning
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DL can be used to monitor drivers and passengers for safety concerns, such as distracted driving or unruly behavior, helping taxi companies maintain high safety standards and reduce the risk of accidents.
“DL can be used to monitor drivers and passengers for safety concerns, such as distracted driving or unruly behavior. This can help taxi companies maintain high safety standards and reduce the risk of accidents [132] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [132]
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630 · see citing works
The emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832 · see citing works
Bibri, S. E. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.12.034 · Cited by 799 · see citing works
Intelligent system for lighting control in smart cities
De Paz, J. F., Bajo, J., Rodríguez, S., Villarrubia, G., & Corchado, J. M. (2016) · Information Sciences · doi:10.1016/j.ins.2016.08.045 · Cited by 146 · see citing works
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
- Authors
- Singh, R., Sharma, R., Vaseem Akram, S., Gehlot, A., Buddhi, D., Malik, P. K., & Arya, R.
- Affiliations
- Lovely Professional University (IN)
- SRM Institute of Science and Technology (IN)
- National Institute of Technology Patna (IN)
- Corresponding author
- Sharma, Rohit
- Venue
- Safety Science
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 143
- Pages
- 105407
- ISSN
- 0925-7535 (ISSN-L)
- OpenAlex
- W3185997045
- Cited by
- 163
- References
- 4
- Citations by year
- 2026: 15 · 2025: 36 · 2024: 38 · 2023: 46 · 2022: 24 · 2021: 4
- FWCI
- 14.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Safety Science (publishedVersion)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Mechanical Engineering › IoT and GPS-based Vehicle Safety Systems
- Keywords
- smart roads, road safety, Internet of Things, emergency management system, artificial intelligence in transportation, deep learning, traffic flow prediction, road maintenance, vehicle-to-vehicle communication, sustainable transport
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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