CoChat
Sign Up
Cited by 148Traffic control and managementHuman-Automation Interaction and SafetyTraffic and Road Safety

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

Hoogendoorn, Raymond, van Arerm, Bart, Hoogendoom, Serge·2014·Transportation Research Record: Journal of the Transportation Research Board
DOI 10.3141/2422-13
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.3141/2422-13

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 1 references

Research works printed but not linked: 45

  1. 2010, Towards a European Road Safety Area: Policy Orientations on Road Safety 2011–2020.
  2. 10.4271/972672 · DOI
  3. Gasser T., 2012, BASt-study: Definitions of Automation and Legal Issues in Germany.
  4. KaraaslanU., VaraiyaP., and WalrandJ. Two Proposals to Improve Freeway Traffic Flow. Proc., American Control Conference, IEEE, New York, 1991, pp. 2539–2544. · DOI
  5. 10.1007/978-1-4757-4573-3 · DOI
  6. VanderWerf J., 2004, Conceptual Development and Performance Assessment for the Deployment Staging of Advanced Vehicle Control and Safety Systems.
  7. 10.1109/TITS.2006.884615 · DOI
  8. 10.3926/jiem.344 · DOI
  9. 10.1007/978-3-540-47641-2_62 · DOI
  10. 10.1016/j.physa.2003.10.017 · DOI
  11. 10.1098/rsta.2010.0084 · DOI
  12. 10.1103/PhysRevE.62.1805 · DOI · Paper page
  13. Kesting A., 2013, Traffic Flow Dynamics.
  14. 10.1080/00423119808969457 · DOI
  15. 10.1016/S0968-090X(99)00024-8 · DOI
  16. 10.1016/S0968-090X(02)00004-9 · DOI
  17. 10.1109/ACC.2003.1240478 · DOI
  18. SchakelW. J., van AremB., and NettenB. D. Effects of Cooperative Adaptive Cruise Control on Traffic Flow Stability. Proc., 13th International IEEE Conference on Intelligent Transportation Systems, 2010, pp. 759–764. · DOI
  19. 10.1111/j.1467-8667.2007.00529.x · DOI
  20. 10.1007/978-0-85729-085-4_6 · DOI
  21. VitiF., HoogendoornS. P., AlkimT. P., and BootsmaG. Driving Behavior Interaction with ACC: Results from a Field Operational Test in the Netherlands. Proc., Intelligent Vehicles Symposium, IEEE, 2008, pp. 745–750. · DOI
  22. Brown C., 2000, Proc., International Conference on Traffic and Transport Psychology
  23. 10.1016/S1369-8478(98)00008-4 · DOI
  24. Fancher P., 1997, Intelligent Cruise Control Field Operation Test.
  25. 10.1177/154193129503901706 · DOI
  26. HoedemakerM., and KopfM. Visual Sampling Behavior when Driving with Adaptive Cruise Control. Proc., Ninth International Conference on Vision in Vehicles, 2001, pp. 19–22.
  27. KopfM., and NirschlG. Driver-Vehicle Interaction While Driving with ACC in Borderline Situations. Proc., Mobility for Everyone: 4th World Congress on Intelligent Transport Systems, Berlin, 1997.
  28. Hogema J., 1996, Effects of Intelligent Cruise Control on Driving Behavior: A Simulator Study.
  29. 10.1080/00140130500252990 · DOI
  30. Dragutinovic N., 2005, European Journal of Transport and Infrastructure Research, 5, 267
  31. 10.1177/0018720812461374 · DOI
  32. Sheridan T. B., 2002, Humans and Automation: System Design and Research Issues.
  33. 10.1016/0005-1098(83)90046-8 · DOI · Paper page
  34. Brookhuis K. A., 2001, European Journal of Transport and Infrastructure Research, 1, 245
  35. 10.1518/001872096778827279 · DOI
  36. 10.1007/978-1-4615-9230-3_10 · DOI
  37. 10.1177/001872088002200503 · DOI
  38. 10.3758/BF03202728 · DOI
  39. 10.1518/001872095779064555 · DOI · Paper page
  40. Nilsson L., 1992, Collision Avoidance Systems: Effects of Different Levels of Task Allocation on Driver Behaviour.
  41. Hoedemaeker M., 1996, Needs, Driving Styles and Opinions Towards Automated Driving
  42. BekiarisE., PeticaS., and BrookhuisK. Driver Needs and Public Acceptance Regarding Telematic In-Vehicle Emergency Control Aids. Proc., Mobility for Everyone: 4th World Congress on Intelligent Transport Systems, Berlin, 1997.
  43. De Vos A., 1997, Behavioral Aspects of Automatic Vehicle Guidance (AVG): Leaving the Automated Lane.
  44. 10.1080/15472450.2010.516226 · DOI
  45. Hoogendoorn R. G., 2012, Empirical Research and Modeling of Longitudinal Driving Behavior Under Adverse Conditions.

Cited by

Sorted by citations

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
DOI
10.3141/2422-13
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
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review