The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections
Open access
Date
2020-03Type
- Journal Article
ETH Bibliography
no
Altmetrics
Abstract
Background: This work presents a microsimulation study on the topic on an uphill network, regarding the potential impact of AVs and Cooperative-AVs (Coop-AVs or CAVs), vehicles able to cooperate with the infrastructure. The novelty of the proposed approach is that the simulation of all vehicles is performed with a common hybrid car-following model that takes explicitly into account the variability in the vehicle dynamics and the driving behaviors.
Methods: Simulation of longitudinal movement of the individual vehicles is performed with a common hybrid car-following model that takes explicitly into account the variability in the vehicle dynamics and the driving behaviors. Different homogeneity levels in the vehicles and drivers are tested, while the cooperation is explicitly assessed by proposing a realistic Vehicle to Infrastructure (V2I) logic. Possible reduction in the response times of the vehicles is also studied.
Results: Results with more homogenous vehicle movements have more consistent performance in terms of traffic flow, that is independent of the order that the vehicles enter the network. Finally, the cooperation with the infrastructure can limit high variations in the vehicles’ accelerations and thus potential traffic jams.
Conclusions: Homogenized flows can mitigate or even solve traffic-related problems related to the variability in driving behaviors, such as bottlenecks and stop-and-go waves. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000420711Publication status
publishedExternal links
Journal / series
European Transport Research ReviewVolume
Pages / Article No.
Publisher
SpringerOpenSubject
Vehicle to infrastructure; Automated vehicles; Vehicle dynamics; Traffic simulation; Driving behaviour; Traffic flowOrganisational unit
08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
More
Show all metadata
ETH Bibliography
no
Altmetrics