On the Technical Feasibility of Vehicle to Vehicle Charging for Electric Vehicles via Platooning on Freeways

Rostami-Shahrbabaki, Majid; Haghbayan, S. A.; Akbarzadeh, M.; Bogenberger, Klaus

doi:10.23919/ecc55457.2022.9838049

Cited by 6 publications

(7 citation statements)

References 32 publications

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“…It is inspired by flocking phenomena observed in nature (e.g., from birds and fish) and can fulfill several purposes, such as increasing the road capacity, saving energy by reducing the drag force, sharing resources (e.g., electric charging, internet), and playing the role of a traffic control measure. This paper builds on previous publications by Berahman et al (6) and Rostami-Shahrbabaki et al (7) and extends the existing concepts by introducing a new flock management layer that allows for achieving certain vehicle headways, flock speeds, and lateral distributions of vehicles on the road. Potential use cases of such a flock management are shown in Figure 1b.…”

mentioning

confidence: 80%

“…The authors found that critical thresholds exist between coherent, stable, and scalable flocking and the dispersed or collapsing motion of the group. Rostami-Shahrbabaki et al (7) developed a decentralized two-layer approach for vehicular flocking in lane-free traffic. In the tactical layer, the control mode is defined and vehicles are matched.…”

Section: Cav Flocking In Lane-free Trafficmentioning

confidence: 99%

“…Compared to the authors' previous work (7), which considered different zones and control modes for the movement of vehicles, in this work, vehicular flocking is developed using a single energy function and the principles of graph theory. The general framework is built on the flocking algorithm developed by Olfati-Saber (41).…”

Section: Cav Flocking In Lane-free Trafficmentioning

confidence: 99%

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Modeling Vehicle Flocking in Lane-Free Automated Traffic

Rostami-Shahrbabaki

Weikl

Niels

et al. 2023

Transportation Research Record: Journal of the Transportation R

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In automated lane-free traffic, vehicles can choose any arbitrary lateral location. This enables vehicle flocking where, compared to platooning, the grouping of vehicles is possible with smaller space gaps, not only longitudinally but also laterally. Vehicle flocking can fulfill several purposes, such as increasing the road capacity, saving energy by reducing the aerodynamic drag force, and dampening shockwaves. Within this paper, we develop a control framework for modeling vehicle flocks in automated lane-free traffic. The proposed control algorithm considers two types of agents: [Formula: see text] -agents representing potential flock mates and a [Formula: see text] -agent representing the virtual leader with collective objectives (e.g., slowing down in the case of traffic congestion ahead). Our algorithm is based on energy functions for flock centering and collision avoidance, a consensus algorithm for velocity matching, and navigational feedback exerted by the virtual leader. The virtual leader’s path, which should be followed by the flock, is defined in an upper-level controller. In addition, a feedback algorithm for dynamic road boundary control is implemented. We simulate the proposed approach with very promising results. We show that vehicle flocks are efficiently formed within a few seconds, speeds are successfully aligned, and vehicle arrangements stay stable under different scenarios. In addition, the lateral and longitudinal flock extension changes with different energy functions and changing road boundaries, and vehicle flocks follow the trajectory of the virtual leader. Most importantly, vehicle flocks stay stable in the case of perturbations and the induced shock is dampened efficiently because of slight changes in the vehicles’ lateral locations.

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mentioning

confidence: 80%

Section: Cav Flocking In Lane-free Trafficmentioning

confidence: 99%

Section: Cav Flocking In Lane-free Trafficmentioning

confidence: 99%

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Modeling Vehicle Flocking in Lane-Free Automated Traffic

Rostami-Shahrbabaki

Weikl

Niels

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…The TrafficFluid concept relies on two combined principles: (a) Lane-free traffic, whereby vehicles are not bound to fixed traffic lanes, as in conventional traffic, but may drive anywhere on the 2-D surface of the road; and (b) Vehicle nudging, whereby vehicles communicate their presence to other vehicles in front of them (or are sensed by them), and this may influence the movement of vehicles in front. Over the last couple of years, several movement strategies were proposed for autonomous vehicles on lane-free infrastructure under the TrafficFluid paradigm, using different methodologies, including: ad-hoc strategies [6], [7], optimal control [8], [9], reinforcement learning [10], nonlinear feedback control [11], [12]; and a generic simulation environment for lane-free traffic has also been developed [13]; see [14] for a brief review.…”

Section: Introductionmentioning

confidence: 99%

Automated vehicle driving on large lane-free roundabouts

Naderi

Papageorgiou

Karafyllis

et al. 2022

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

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Controlling automated vehicles on large lane-free roundabouts is challenging because of the geometrical complexity and frequent conflicts among entering, rotating, and exiting vehicles. This paper proposes a comprehensive methodology to control the vehicles within the roundabout and the connected road branches. The developed real-time vehicle movement strategy relies on offline-computed wide overlapping movement corridors, one for each Origin-Destination (OD) movement, which delineate the admissible movement zones of corresponding OD vehicles. Also, space-dependent desired orientations are determined by destination, so as to mitigate potential vehicle conflicts and reduce trip distance. A distributed (per vehicle) movement control strategy, using two nonlinear feedback controllers (NLFC), for circular and straight movements, respectively, is employed to navigate each vehicle within the respective OD corridor toward its destination, accounting for the desired orientation and avoiding collisions with other vehicles; while boundary controllers guarantee that the corridor boundaries will not be violated, and the exit will not be missed. As an overly complicated case study, we consider the famous roundabout of Place Charles de Gaulle in Paris, featuring a width of 38 m and comprising a dozen of bidirectional radial streets, hence a total of 144 ODs. The pertinence and effectiveness of the presented method is verified via microscopic simulation and evaluation of macroscopic data.

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“…The simulations assume that all vehicles are CAVs which allows the exchange of information and improves the coordination among vehicles. Currently, researchers are exploring possible lane-free traffic designs such as flocking [6], nudging [7], potential lines [8] and bi-directional LFT [9]. These approaches show that road designs can be made dynamic according to traffic demands.…”

Section: Introductionmentioning

confidence: 99%

Lane-Free Traffic: History and State of the Art

Sekeran

Rostami-Shahrbabaki

Syed

et al. 2022

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

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Lane-free traffic (LFT) is a new traffic system that relies on connected and automated vehicles (CAV) to increase road capacity and utilization by removing traditional lane markings using coordinated maneuvering of CAVs in LFT strategies. LFT is based on two main principles: upstream nudging and vehicles moving without adhering to any lane markings. By leveraging CAV capabilities to communicate and exchange information, LFT represents a promising future traffic system. While current research uses LFT simulations in two-dimensional space, driving simulators are necessary to investigate human behavior and perceived safety in LFT. This paper proposes a conceptual framework for LFT driving simulations and describes the assumptions, requirements, and recent technological developments that make it possible to investigate the human perspective and acceptance of LFT. Additionally, we propose a scenario matrix that can act as a test guide to building driving simulation scenarios for the LFT.

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On the Technical Feasibility of Vehicle to Vehicle Charging for Electric Vehicles via Platooning on Freeways

Cited by 6 publications

References 32 publications

Modeling Vehicle Flocking in Lane-Free Automated Traffic

Modeling Vehicle Flocking in Lane-Free Automated Traffic

Automated vehicle driving on large lane-free roundabouts

Lane-Free Traffic: History and State of the Art

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