Connected automated vehicle control in single lane roundabouts

Mohebifard, Rasool; Hajbabaie, Ali

doi:10.1016/j.trc.2021.103308

Cited by 24 publications

(5 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [73], Authors presented a methodology to control the CAVs path inside the roundabout, formulating an optimisation problem which considers as design variables the vehicle's accelerations and as state variables the speed and position of CAVs over time. The solution to the problem posed is divided into three sections.…”

Section: Communication Approaches and Path Management Algorithms Of Cavsmentioning

confidence: 99%

“…Firstly, the specific intersection configuration is analysed, considering some core features like its lanes, routes and conflict points and dividing it into harmonisation, dash and crossing zones. If compared with the definition of different levels for the control algorithm proposed by Authors in [73] and [74], this is the first example of geometric partitioning of the roundabout. In both cases, a simplification of the control algorithm into sub-problems is proposed, but operating on different levels.…”

Section: Communication Approaches and Path Management Algorithms Of Cavsmentioning

confidence: 99%

See 1 more Smart Citation

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

Campi,

Mastinu,

Previati

et al. 2024

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

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.

show abstract

Section: Communication Approaches and Path Management Algorithms Of Cavsmentioning

confidence: 99%

Section: Communication Approaches and Path Management Algorithms Of Cavsmentioning

confidence: 99%

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

Campi,

Mastinu,

Previati

et al. 2024

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Rahman et al ( 7 ) showed that automated braking and lane-keeping assistance systems based on V2V and V2I communications significantly reduced the frequency of conflicts, especially at higher penetration rates. Research shows that V2V communications can reduce the number of near-crash situations to zero in fully autonomous ( 22 – 24 ) and semi-autonomous ( 25 – 29 ) environments. However, when the vehicles are not fully automated, V2I communications are also needed to address risky conditions that cannot be resolved with V2V communication ( 14 ).…”

Section: Introductionmentioning

confidence: 99%

Testing Connected Vehicle-Based Accident Mitigation for Red-Light Violation Using Simulation Strategies

Tajalli

Islam

List

2022

Transportation Research Record

Self Cite

View full text Add to dashboard Cite

Simulation is often suggested as a way to analyze the safety improvements of geometric changes and operational strategies. But the results from simulations are mixed. This paper presents new ideas about how to do such assessments, especially in the context of testing the value of vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and vehicle to pedestrian (V2P) communications in preventing crashes because of red-light violation at signalized intersections. Algorithms are created that watch for impending collisions through sensing and then issue speed and trajectory changes to avoid accidents. Red-light violation is a primary focus because it increases the likelihood that collisions will occur. VISSIM is used to test these ideas, including new communication and control algorithms that link to vehicles, pedestrians, and signal controllers through the communication interface. The algorithms predict unsafe conditions, determine an appropriate crash remedial decision, and communicate those controls with the appropriate vehicles and pedestrians. The impacts of these algorithms are explored under various demand patterns, connected vehicle market penetration rates, and red-light violation rates in a hypothetical simulated environment. The simulation analysis suggests that the number of near-crash events can be reduced significantly if V2V and V2P communications are implemented. Moreover, adding V2I communication on top of these may further reduce the number of near-crash events. These results suggest that not only could such control strategies have significant impacts, but also those impacts can be assessed through simulation.

show abstract

“…CAVs are promising technology and can yield significant impacts in various transportation environments. Extensive efforts have been devoted to exploring the potential effects of CAVs in various transportation environments, including freeways [1][2][3], roundabouts [4,5], and conventional intersections [6,7]. In these studies, assumptions were often made for CAVs' capabilities, such as trajectory planning, shorter headways, accurate controls, shorter reaction times, and communication with other vehicles or infrastructure, such as traffic signals [8,9].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning

Fan

2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Connected and autonomous vehicles (CAVs) are emerging technology that attracts the interests of many transportation professionals and computational scientists. Several recent studies have investigated different model frameworks of CAVs in different transportation environments, such as on freeways and at conventional intersections. Nevertheless, few efforts have been made to investigate the performances of CAVs at innovative intersections, and the lack of knowledge can result in an inaccurate prediction of CAVs performances in the existing transportation network. This research intends to mitigate this research gap by studying the traffic delay and fuel consumption of CAVs in the environment of the superstreet and its equivalent conventional intersection through simulation-based experiments. A real-world superstreet in Leeland, NC, is selected and used. A conventional intersection with equivalent road designs is established in the simulation platform to make a comparison with the selected superstreet. This research develops both platooning and trajectory planning modeling frameworks to examine the implications of CAVs with different capabilities. The Intelligent Driver Model (IDM) is selected and applied to model the CAV behaviors, while Wiedemann 99 (W99) is used to model Human-Driven Vehicles (HDVs). The simulation results demonstrate the efficiency of both platooning and trajectory planning, respectively. Different effects of CAVs in the superstreet and its equivalent conventional intersection are observed. The findings from this research can provide an important reference for transportation planners and policymakers in predicting the influence of CAVs on the existing transportation infrastructure.

show abstract

Connected automated vehicle control in single lane roundabouts

Cited by 24 publications

References 48 publications

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

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

Testing Connected Vehicle-Based Accident Mitigation for Red-Light Violation Using Simulation Strategies

Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning

Contact Info

Product

Resources

About