![](/images/graphics-bg.png)
Traffic Oscillations Mitigation in Vehicle Platoon Using a Car-Following Control Model for Connected and Autonomous Vehicle
Joint Authors
Yan, Xuedong
Gao, Zhijun
Zhang, Xi
Dong, Jiakuan
Chen, Lei
Zhang, Wei
Wang, Jiangfeng
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Traffic oscillations often occur in road traffic, they make traffic flow unstable, unsafe and inefficient.
Emerging connected and autonomous vehicle (CAV) technologies are potential solutions to mitigating the traffic oscillations for the advantages that CAVs are controllable and cooperative.
In order to study a control strategy and the effectiveness of CAVs in mitigating traffic oscillations and improving traffic flow and analyse the characteristics of homogeneous traffic flow made up of CAVs and heterogeneous traffic flow made up of CAVs and RVs when traffic oscillations appear in traffic flow.
Firstly, the formation and propagation of traffic oscillations in a platoon of RVs are simulated and analysed.
Then, a car-following control model is built to control the longitudinal motion of CAVs, and real-time information of preceding CAV is used in the model and this can make the motion of CAVs more cooperative.
The model reflects an idea named “slow-in” and “fast-out,” and this idea is helpful to mitigate traffic oscillations.
Then, numerical simulations of homogeneous traffic flow of a platoon of CAVs and simulations of heterogeneous traffic flow containing CAVs and RVs are conducted, and different penetration rates (0, 0.2, 0.4, 0.6, 0.8, and 1) of CAVs are considered in the simulations of heterogeneous traffic flow.
The characteristics and evolution of traffic flow are analysed and some indexes reflecting traffic efficiency and stability are calculated and analysed.
Simulation results show that there are smaller velocity fluctuation, less stopping time and shorter length of road occupied when vehicle platoon contains CAVs (penetration rates are from 0.2 to 1) compared to the platoon containing only RVs (without CAVs).
As for the heterogeneous traffic flow containing CAVs and RVs, these three indexes decrease with the increase of penetration rates (from 0.2 to 1) of CAVs.
These results indicate that CAVs with the car-following control model in vehicle platoon are beneficial for mitigating traffic oscillations and improving traffic flow.
American Psychological Association (APA)
Gao, Zhijun& Wang, Jiangfeng& Zhang, Xi& Dong, Jiakuan& Chen, Lei& Yan, Xuedong…[et al.]. 2019. Traffic Oscillations Mitigation in Vehicle Platoon Using a Car-Following Control Model for Connected and Autonomous Vehicle. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169738
Modern Language Association (MLA)
Gao, Zhijun…[et al.]. Traffic Oscillations Mitigation in Vehicle Platoon Using a Car-Following Control Model for Connected and Autonomous Vehicle. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169738
American Medical Association (AMA)
Gao, Zhijun& Wang, Jiangfeng& Zhang, Xi& Dong, Jiakuan& Chen, Lei& Yan, Xuedong…[et al.]. Traffic Oscillations Mitigation in Vehicle Platoon Using a Car-Following Control Model for Connected and Autonomous Vehicle. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169738