The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automated Driving, Traffic Flow Efficiency, and Human Factors: Literature Review
Abstract
Automation may be assumed to have a beneficial impact on traffic flow efficiency. However, the relationship between automation and traffic flow efficiency is complex because behavior of road users influences this efficiency as well. This paper reviews what is known about the influence of automation on traffic flow efficiency and behavior of road users, formulates a theoretical framework, and identifies future research needs. It is concluded that automation can be assumed to have an influence on traffic flow efficiency and on the behavior of road users. The research has shortcomings, and in this context directions are formulated for future scientific research on automation in relation to traffic flow efficiency and human behavior.
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“Highly random and fluctuating car-following behaviors of human drivers are one of the main factors to prompt accidents, oscillations, and traffic congestion.”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Hoogendoorn, van Arem, & Hoogendorn, 2014
Citations
Cites
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Cited by
Sorted by citations
Milakis, D., van Arem, B., & van Wee, B. (2017) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2017.1291351 · Cited by 963
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Currie, G. (2019) · Journal of Transport and Land Use · doi:10.5198/jtlu.2019.1405 · Cited by 427
HeartPy: A novel heart rate algorithm for the analysis of noisy signals
van Gent, P., Farah, H., van Nes, N., & van Arem, B. (2019) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.09.015 · Cited by 234
Metadata
- Authors
- Hoogendoorn, R., van Arerm, B., & Hoogendoom, S.
- Affiliations
- Delft University of Technology (NL)
- Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, Netherlands.
- Corresponding author
- Hoogendoorn, Raymond
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2014-01
- Volume
- 2422
- Issue
- 1
- Pages
- 113-120
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W1849142051
- Cited by
- 148
- References
- 1
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 13 · 2023: 17 · 2022: 8 · 2021: 17 · 2020: 25 · 2019: 18 · 2018: 10 · 2017: 15 · 2016: 4 · 2015: 3 · 2014: 2
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- autonomous driving, traffic flow efficiency, human factors, road user behaviour, driver behavior, human-automation interaction, traffic congestion, theoretical framework
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- The paper
- Hoogendoorn, R., van Arerm, B., & Hoogendoom, S. (2014). Automated Driving, Traffic Flow Efficiency, and Human Factors: Literature Review. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/2422-13