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Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow
Abstract
This study used microscopic simulation to estimate the effect on highway capacity of varying market penetrations of vehicles with adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC). Because the simulation used the distribution of time gap settings that drivers from the general public used in a real field experiment, this study was the first on the effects of ACC and CACC on traffic to be based on real data on driver usage of these types of controls. The results showed that the use of ACC was unlikely to change lane capacity significantly. However, CACC was able to increase capacity greatly after its market penetration reached moderate to high percentages. The capacity increase could be accelerated by equipping non-ACC vehicles with vehicle awareness devices so that they could serve as the lead vehicles for CACC vehicles.
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“Driverless vehicles in communication with each other will be able to safely reduce the distance between vehicles because all members of the resulting 'convoy' will be able to brake or accelerate simultaneously as required (Shladover et al., 2012; Fagnant and Kockelman, 2015a, p. 170; Gordon and Lidberg, 2015, p. 970).”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Shladover et al., 2012
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The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics
van Arem, B., Driel, C. J. G. V., & Visser, R. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.884615 · Cited by 1,548
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity
Kesting, A., Treiber, M., & Helbing, D. (2010) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2010.0084 · Cited by 845
Adaptive Cruise Control Design for Active Congestion Avoidance
Kesting, A., Treiber, M., Schönhof, M., & Helbing, D. (2008) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2007.12.004 · Cited by 610
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacityPreprint
Kesting, A., Treiber, M., & Helbing, D. (1928) · Cited by 516
Transportation Research Record: Journal of the Transportation Research Board, No. 1979
(2006) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1979-01 · Cited by 411
Effects of Cooperative Adaptive Cruise Control on traffic flow stability
Schakel, W., van Arem, B., & Netten, B. D. (2010) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2010.5625133 · Cited by 286
Effects of Adaptive Cruise Control Systems on Highway Traffic Flow Capacity
Werf, J. V., Shladover, S. E., Miller, M. A., & Kourjanskaia, N. (2002) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1800-10 · Cited by 267
Self-citationNowakowski, C., O'Connell, J., Shladover, S. E., & Cody, D. (2010) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193121005402403 · Cited by 140
Self-citationExtending Adaptive Cruise Control to Adaptive Driving Strategies
Kesting, A., Treiber, M., Schönhof, M., & Helbing, D. (2007) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2000-03 · Cited by 124
Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation
Yeo, H., Skabardonis, A., Halkias, J., Colyar, J. D., & Alexiadis, V. (2008) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2088-08 · Cited by 97
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Research works printed but not linked: 4
- 2009, Aimsun Users Manual.
- 2009, Microsimulator and Mesosimulator in Aimsun 6 User's Manual.
- 2009, Aimsun Microsimulator API Manual.
- 2008, Aimsun Microscopic Simulator Behavioural Models SDK.
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Metadata
- Authors
- Shladover, S. E., Su, D., & Lu, X.-Y.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Shladover, Steven E.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2012-01
- Volume
- 2324
- Issue
- 1
- Pages
- 63-70
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W1991095535
- Cited by
- 887
- References
- 17
- Citations by year
- 2026: 53 · 2025: 78 · 2024: 77 · 2023: 84 · 2022: 98 · 2021: 118 · 2020: 109 · 2019: 85 · 2018: 70 · 2017: 50 · 2016: 31 · 2015: 23 · 2014: 6 · 2013: 4
- FWCI
- 15.30
- 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
- cooperative adaptive cruise control, adaptive cruise control, freeway traffic flow, road capacity, market penetration, microscopic traffic simulation, lane capacity, driver behavior
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