Platform-based Platooning to Connect Two Autonomous Vehicle Areas

Pourmohammad-Zia, Nadia; Schulte, Frederik; Negenborn, Rudy R.

doi:10.1109/itsc45102.2020.9294689

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Refs. [154][155][156][157][158][159][160][161] are a few of the current studies in which the researchers have proposed various innovative ideas related to all salient aspects of platoons in AVs. Studies done by eminent scholars, see Refs.…”

Section: Collision Avoidancementioning

confidence: 99%

Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey

Ignatious

El-Sayed

Khan

et al. 2023

Sensors

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Autonomous driving of higher automation levels asks for optimal execution of critical maneuvers in all environments. A crucial prerequisite for such optimal decision-making instances is accurate situation awareness of automated and connected vehicles. For this, vehicles rely on the sensory data captured from onboard sensors and information collected through V2X communication. The classical onboard sensors exhibit different capabilities and hence a heterogeneous set of sensors is required to create better situation awareness. Fusion of the sensory data from such a set of heterogeneous sensors poses critical challenges when it comes to creating an accurate environment context for effective decision-making in AVs. Hence this exclusive survey analyses the influence of mandatory factors like data pre-processing preferably data fusion along with situation awareness toward effective decision-making in the AVs. A wide range of recent and related articles are analyzed from various perceptive, to pick the major hiccups, which can be further addressed to focus on the goals of higher automation levels. A section of the solution sketch is provided that directs the readers to the potential research directions for achieving accurate contextual awareness. To the best of our knowledge, this survey is uniquely positioned for its scope, taxonomy, and future directions.

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Section: Collision Avoidancementioning

confidence: 99%

Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey

Ignatious

El-Sayed

Khan

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…They found that the developed toll pricing model alleviated truck congestion and improved terminal efficiency. Pourmohammad-Zia et al [28] studied a platform-based container transportation problem between a port and carriers in an industrial area. Their proposed platform provided a platooning service to move automated vehicles (AVs) through non-autonomous roads.…”

Section: Tas Modeled As Multi-player Gamementioning

confidence: 99%

Modeling the Truck Appointment System as a Multi-Player Game

2022

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Background: Random truck arrivals at maritime container terminals are one of the primary reasons for gate congestion. Gate congestion negatively affects the terminal’s and drayage firms’ productivity and the surrounding communities in terms of air pollution and noise. To alleviate gate congestion, more and more terminals in the USA are utilizing a truck appointment system (TAS). Methods: This paper proposes a novel approach to modeling the truck appointment system problem. Unlike previous studies which largely treated this problem as a single-player game, this study explicitly models the interplay between the terminal and drayage firms with regard to appointments. A multi-player bi-level programming model is proposed, where the terminal functions as the leader at the upper-level and the drayage firms function as followers at the lower-level. The objective of the leader (the terminal) is to minimize the gate waiting cost of trucks by spreading out the truck arrivals, and the objective of the followers (drayage firms) is to minimize their own drayage cost. To make the model tractable, the bi-level model is transformed to a single-level problem by replacing the lower-level problem with its equivalent Karush–Kuhn–Tucker (KKT) conditions and the model is solved by finding the Stackelberg equilibrium in one-shot simultaneous-moves among players. For comparison purposes, a single-player version of the TAS model is also developed. Results: Experimental results indicate that the proposed multi-player model yields a lower gate-waiting cost compared to the single-player model, and that it yields higher cost savings for the drayage firms as the number of appointments per truck increases. Moreover, the solution of the multi-player model is not dependent on the objective function coefficients, unlike the single player model. Conclusions: This study demonstrates that a TAS is more effective if it considers how the assigned appointment slot affects a truck’s drayage cost. It is recommended that terminal operators and port authorities initiate conversations with their TAS providers about incorporating this element into their TAS.

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“…Various research efforts in the literature have addressed vehicle platooning at highways to increase fuel efficiency, traffic flow, driver comfort, and safety. To date, there has been a rich body of research focusing on exploring several methods of forming and/or utilizing platoons to improve transportation efficiency [4,11,29,31,42,58,71,75,78,80]. A detailed discussion on different approaches in vehicle platooning systems at highways can be found in [9,32,81].…”

Section: Introductionmentioning

confidence: 99%

A Constrained Optimal Control Framework for Vehicle Platoons with Delayed Communication

Mahbub¹,

Chalaki²,

Malikopoulos³

2021

Preprint

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Vehicle platooning using connected and automated vehicles (CAVs) has attracted considerable attention. In this paper, we address the problem of optimal coordination of CAV platoons at a highway on-ramp merging. We present a single-level constrained optimal control framework that optimizes fuel economy and travel time of the platoons while satisfying the state, control, and safety constraints. We also explore the effect of delayed communication among the CAV platoons and propose a robust coordination framework to enforce lateral and rear-end collision avoidance constraints in the presence of bounded delays. We provide a closed-form analytical solution of the optimal control problem with safety guarantees that can be implemented in real time. Finally, we validate the effectiveness of the proposed control framework using a high-fidelity commercial simulation environment.

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Platform-based Platooning to Connect Two Autonomous Vehicle Areas

Cited by 7 publications

References 20 publications

Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey

Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles—A Survey

Modeling the Truck Appointment System as a Multi-Player Game

A Constrained Optimal Control Framework for Vehicle Platoons with Delayed Communication

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