The DOI matches its Crossref record.
Effect of the Configuration of Platooning Maneuvers on the Traffic Flow under Mixed Traffic Scenarios
Abstract
Automated driving and platooning are expected to augment the road capacity and improve the traffic. The authors previously demonstrated that it is necessary to take into account platooning maneuvers in order to properly understand and quantify the impact of automated driving on the traffic under mixed traffic scenarios where automated and non-automated vehicles coexist. These scenarios are particularly relevant since platooning and automated driving will be gradually introduced, and non-automated vehicles can interfere with the maneuvers. This study progresses the current state of the art by studying the impact of the configuration of platooning maneuvers on the traffic flow under mixed traffic scenarios. The study focuses on the impact of the desired and safe gaps and the maximum platoon length. These parameters determine if and how platooning maneuvers are executed. The study demonstrates that the three parameters have a significant impact on the traffic flow, and hence their configuration should be carefully studied to maximize the impact of platooning.
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A penetration rate of more than 20% is required to experience an increase in road capacity.
“In addition, a penetration rate of more than 20% is required to experience an increase in road capacity (Mena-Oreja et al., 2018)”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Mena-Oreja et al., 2018
Studies suggesting an increase in capacity are based on just automation.
“Studies suggesting an increase in capacity are based on just automation (e.g., Friedrich, 2015;Mena-Oreja et al., 2018;Olia et al., 2018;Talebpour & Mahmassani, 2016;Tientrakool et al., 2011).”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Mena-Oreja et al., 2018
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No references could be resolved yet.
Research works printed but not linked: 13
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- 10.1109/MITS.2014.2328670 · DOI
- tóth, 2017, String stability preserving adaptive spacing policy for handling saturation in heterogeneous vehicle platoons, Proc IFAC World Congress, 8525
- mena-oreja, 2018, On the impact of platooning maneuvers on traffic, Proc IEEE ICVES
- amoozadeh, 2015, Platoon management with cooperative adaptive cruise control enabled by VANET, Vehicular Communications, 2, 110, 10.1016/j.vehcom.2015.03.004 · DOI
- 10.1109/TITS.2016.2548502 · DOI
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- krajzewicz, 2012, Recent Development and Applications of SUMO - Simulation of Urban Mobility, International Journal on Advances in Systems and Measurements, 5, 128
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- krauß, 1998, Microscopic modelling of traffic flow: Investigation of collision free vehicle dynamics, Ph D Dissertation
Cited by
Sorted by citations
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691
Metadata
- Authors
- Mena-Oreja, J., Gozalvez, J., & Sepulcre, M.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- ORCID
- Sepulcre, Miguel
- Venue
- 2018 IEEE Vehicular Networking Conference (VNC)
- Publisher
- IEEE
- Published
- 2018-12
- Pages
- 1-4
- OpenAlex
- W2911768530
- Cited by
- 36
- References
- 0
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 11 · 2022: 5 · 2021: 8 · 2020: 4
- FWCI
- 4.50
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Vehicular Networking Conference (VNC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- mixed traffic, autonomous driving, traffic flow, road capacity
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