Optimizing Gap Tracking Subject to Dynamic Losses via Connected and Anticipative MPC in Truck Platooning

Ard, Tyler; Ashtiani, Faraz; Vahidi, Ardalan; Borhan, Hosein Ali

doi:10.23919/acc45564.2020.9147849

Cited by 12 publications

(10 citation statements)

References 20 publications

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“…An individual "next gen" vehicle is defined as Cd = 0.5 (~Model Year 2015-2019 including trailer skirts and boattails). Further, innovative vehicle powertrains and predictive control algorithms may increase the benefits in a connected vehicle platoon [1,6,16]. Vehicle systems performance and control techniques are well summarized in previous studies [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Further, innovative vehicle powertrains and predictive control algorithms may increase the benefits in a connected vehicle platoon [1,6,16]. Vehicle systems performance and control techniques are well summarized in previous studies [16][17][18][19][20]. Vehicle systems performance and control techniques are well summarized in previous studies [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Vehicle systems performance and control techniques are well summarized in previous studies [16][17][18][19][20]. Vehicle systems performance and control techniques are well summarized in previous studies [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…This is largely attributed to the limited financial benefits that may be practically realized. A multitude of pathways of reducing fuel consumption in HD long haul freight transport without platooning have been cost effective with short payback periods [16,20,21]. In addition, energy optimization of electrified powertrains continues to see great progress resulting in improved end-user savings and productivity [22].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Characterizing the Payback and Profitability for Automated Heavy Duty Vehicle Platooning

2022

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Heavy duty vehicle platooning under highway operating conditions has been projected to provide significant fuel economy gains based on aerodynamic drag improvements of the platooning vehicles. Realizing these benefits and the economic viability under real-world operating conditions presents several challenges. The objective of this paper (the third as part of a series) is to analytically quantify the payback and profitability of heavy-duty vehicles platooning across the U.S. Interstate highway system. In this paper, a rigorous assessment of several factors that influence the platooning system payback for an end-user as well as the revenue potential for suppliers who may be utilizing an equipment lease model dependent on end-user savings, is presented. In this assessment key interactions explored include market adoption rates, platooning velocities, platoon-able daily mileage, platooning likelihood, variations in baseline powertrain fuel economy (diesel or electric), price of fuel (diesel or electricity), platooning fuel economy benefits, price of the added technology, and the impact of natural platooning due to traffic interactions. Further, the paper explores the economic impact of higher levels of vehicle automation for the trailing vehicles in the platoon, where extending the driver Hours of Service (HoS) may provide additional financial benefits. While the approach makes use of a limited fidelity vehicle analytical model for longitudinal dynamics and operations economics, the narrative provides application decision personnel with a mechanism and well-defined set of impact factors to consider as part of their architectural selection process.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterizing the Payback and Profitability for Automated Heavy Duty Vehicle Platooning

2022

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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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Improved longitudinal control strategy for connected and automated truck platoon against cyberattacks

Lyu

Wang

Cheng

et al. 2022

IET Intelligent Trans Sys

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With the conception of internet of vehicle, the longitudinal control strategy of connected and automated truck platoon (CATP) to effectively deal with threat of cyberattacks has become an urgent challenge. Based on this, by flexibly changing the communication topology of truck platoon, this paper designs a communication topology safety response system (CTSRS), and further combined with the distributed model predictive control (DMPC) method, an improved longitudinal control strategy of CATP is tentatively proposed. The sufficient conditions for the asymptotic stability of truck platoon are derived by taking the cost function of CATP as the Lyapunov candidate function. Besides, the Next Generation Simulation (NGSIM) data is used to simulate the motion trajectory of the leading truck, which verifies the superior performance of DMPC in controlling the truck platoon to adjust the following behavior according to the different driving behavior of the leading truck. Finally, the cyberattacks scenario is set to conduct the comparative numerical simulation of platoon evolution. Numerical results show that DMPC can still ensure the stability and security of the truck platoon even if the trucks are suffered cyberattacks while CTSRS is enabled, which proves the feasibility of the improved longitudinal control strategy in resisting the threat of cyberattacks.

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Optimizing Gap Tracking Subject to Dynamic Losses via Connected and Anticipative MPC in Truck Platooning

Cited by 12 publications

References 20 publications

Characterizing the Payback and Profitability for Automated Heavy Duty Vehicle Platooning

Characterizing the Payback and Profitability for Automated Heavy Duty Vehicle Platooning

A Constrained Optimal Control Framework for Vehicle Platoons with Delayed Communication

Improved longitudinal control strategy for connected and automated truck platoon against cyberattacks

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