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Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

Authors :
Campi, Elena
Mastinu, Gianpiero
Previati, Giorgio
Studer, Luca
Uccello, Lorenzo
Source :
IEEE Transactions on Intelligent Transportation Systems; 2024, Vol. 25 Issue: 5 p3305-3325, 21p
Publication Year :
2024

Abstract

The paper deals with traffic simulation within roundabouts when both “connected and automated vehicles” (CAVs) and human-driven cars are present. The aim is to present the past, current and future research on CAVs running into roundabouts within the Cooperative, Connected and Automated Mobility (CCAM) framework. Both microscopic traffic simulations and virtual reality simulations by dynamic driving simulators will be considered. The paper is divided into five parts. At first, the literature is analysed using the Systematic Literature Review (SLR) methodology based on Scopus database. Secondly, the influence of CAVs on roundabout-specific design features and configuration is analysed. Gap-acceptance models used to define the capacity of the roundabout, one of its most important key performance indicators, are also presented. Third, the most common simulation software are described and analysed in terms of traffic demand implementation. Then the communication approaches and path management algorithms are studied. An example is proposed on the integration of microscopic traffic simulations and dynamic driving simulators virtual reality simulations. Finally, car following models suitable for roundabout traffic are discussed. There is still a gap between simulations and actual experience. There are reasonable doubts on how modelling and optimizing CAVs’ behaviour into roundabouts in view of CCAM. It seems that Cooperative, Connected and Automated Vehicles (CCAVs), more than simply Connected and Automated Vehicles (CAVs), could optimise traffic flow, safety and driving comfort within the roundabout. A very promising technology for traffic simulation within the roundabout seems the one based on dynamic driving simulators.

Details

Language :
English
ISSN :
15249050 and 15580016
Volume :
25
Issue :
5
Database :
Supplemental Index
Journal :
IEEE Transactions on Intelligent Transportation Systems
Publication Type :
Periodical
Accession number :
ejs66397947
Full Text :
https://doi.org/10.1109/TITS.2023.3325000