Autonomous Vehicles Coordination Through Voting-Based Decision-Making

Teixeira, Madalena; d’Orey, Pedro M.; Kokkinogenis, Zafeiris

doi:10.1007/978-3-030-17294-7_15

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The leading vehicle drives at the first position and follows by a couple of follower vehicles, which means FVs can automatically brake, steer, and decelerate, depending on the actions of the leading vehicle [ 59 ]. The vehicles in the platoon coordinate their lateral and longitudinal control to maintain the required headway from their leading vehicle [ 60 ]. The leading vehicle controls the driving direction, and the FVs follow the leading vehicle using advanced technologies, such as adaptive cruise control, automated emergency braking, blind-spot warning, forward collision avoidance system, lane departure warning, etc.…”

Section: Cooperative Driving—a Comprehensive Analysis Of the Research Literaturementioning

confidence: 99%

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Malik

Khan

El-Sayed

2021

Sensors

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Sooner than expected, roads will be populated with a plethora of connected and autonomous vehicles serving diverse mobility needs. Rather than being stand-alone, vehicles will be required to cooperate and coordinate with each other, referred to as cooperative driving executing the mobility tasks properly. Cooperative driving leverages Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication technologies aiming to carry out cooperative functionalities: (i) cooperative sensing and (ii) cooperative maneuvering. To better equip the readers with background knowledge on the topic, we firstly provide the detailed taxonomy section describing the underlying concepts and various aspects of cooperation in cooperative driving. In this survey, we review the current solution approaches in cooperation for autonomous vehicles, based on various cooperative driving applications, i.e., smart car parking, lane change and merge, intersection management, and platooning. The role and functionality of such cooperation become more crucial in platooning use-cases, which is why we also focus on providing more details of platooning use-cases and focus on one of the challenges, electing a leader in high-level platooning. Following, we highlight a crucial range of research gaps and open challenges that need to be addressed before cooperative autonomous vehicles hit the roads. We believe that this survey will assist the researchers in better understanding vehicular cooperation, its various scenarios, solution approaches, and challenges.

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Section: Cooperative Driving—a Comprehensive Analysis Of the Research Literaturementioning

confidence: 99%

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Malik

Khan

El-Sayed

2021

Sensors

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A comparison of zero- and minimal-intelligence agendas in majority-rule voting models

Brewer¹,

Juybari

Moberly³

2023

J Econ Interact Coord

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Emergent behavior in repeated collective decisions of minimally intelligent agents—who at each step in time invoke majority rule to choose between a status quo and a random challenge—can manifest through the long-term stationary probability distributions of a Markov chain. We use this known technique to compare two kinds of voting agendas: a zero-intelligence agenda that chooses the challenger uniformly at random and a minimally intelligent agenda that chooses the challenger from the union of the status quo and the set of winning challengers. We use Google Co-Lab’s GPU accelerated computing environment to compute stationary distributions for some simple examples from spatial-voting and budget-allocation scenarios. We find that the voting model using the zero-intelligence agenda converges more slowly, but in some cases to better outcomes.

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Cooperative, Connected and Autonomous Mobility: Coordination at Intersections Using Reservation-based Mechanisms

Filipe,

Kokkinogenis,

d'Orey

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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Autonomous Vehicles Coordination Through Voting-Based Decision-Making

Cited by 3 publications

References 17 publications

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges

A comparison of zero- and minimal-intelligence agendas in majority-rule voting models

Cooperative, Connected and Autonomous Mobility: Coordination at Intersections Using Reservation-based Mechanisms

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