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You searched for subject:(platooning strategy). Showing records 1 – 2 of 2 total matches.

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Delft University of Technology

1. van Maarseveen, Sander (author). Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.

Degree: 2017, Delft University of Technology

In this research, insight is gained into the impacts of truck platooning on traffic performance and safety at motorway on-ramps in mixed traffic using microscopic simulation. Thereby different platooning strategies and platoon configurations are considered, that for instance differ in desired platoon inter-vehicle gaps and platoon sizes. The effects are considered for a broad range of traffic intensities and penetration rates of equipped trucks. Merging problems are observed, but these can be solved if the platoon members yield to create a gap for merging vehicles.

Transport and Planning

Advisors/Committee Members: van Arem, Bart (mentor), Wang, Meng (mentor), Happee, Riender (mentor), Tool, Onno (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: truck platooning; motorway on-ramp; merging; traffic performance; traffic safety; microscopic simulation; platooning strategy; platoon configuration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Maarseveen, S. (. (2017). Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187

Chicago Manual of Style (16th Edition):

van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.

MLA Handbook (7th Edition):

van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Web. 05 Mar 2021.

Vancouver:

van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.

Council of Science Editors:

van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187


Delft University of Technology

2. Rosa, Muhammad Ridho (author). Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach.

Degree: 2018, Delft University of Technology

Synchronization of Multi-Agent Systems (MASs) has the potential to benefit many technological areas such as formation control for unmanned vehicles, cooperative adaptive cruise control, and spacecraft attitude control. Information plays a crucial role in MASs: in centralized approaches, a central node utilizes global information to achieve synchronization, while in distributed approach agents only utilize local information, i.e. neighbors’ information. A big concern in MASs is the presence of parametric uncertainties (unknown dynamics), which might require adaptive control gains instead of fixed control gains. This work thus provides a novel adaptive distributed control for MASs of heterogeneous agents with unknown dynamics based on model reference adaptive control (MRAC). We study both the synchronization of linear systems and the synchronization of Euler- Lagrange (EL) systems. The implementation of this scheme is based on distributed matching condition assumptions. We study such matching conditions both for the statefeedback case and output-feedback case. Since all matching gains are unknown in view of the unknown dynamics, the gains are adapted online via Lyapunov-based estimation. The asymptotic convergence of the synchronization error is analytically proven by introducing an appropriately defined Lyapunov function, and numerical examples show the effectiveness of the approach. The practical advantage of the proposed distributed MRAC is the possibility of handling unknown dynamics by simply exchanging the states/output, and inputs with neighbors, without any extra auxiliary variables (distributed observer) nor sliding mode. Because of the mutual dependence of control inputs, well-posedness problems will arise in the presence of cyclic communication, if the inputs are generated without a prescribed priority. In this work, we study such well-posedness problems via parameter projection methods.

Embedded Systems

Advisors/Committee Members: Baldi, Simone (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Adaptive control; Uncertain Heterogeneous Agent; Multi-Agent systems; Euler-Lagrange Systems; platooning strategy; UAV; Synchronization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rosa, M. R. (. (2018). Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9bd22f02-e0c1-47c8-88f1-768aeb52b7a8

Chicago Manual of Style (16th Edition):

Rosa, Muhammad Ridho (author). “Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach.” 2018. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:9bd22f02-e0c1-47c8-88f1-768aeb52b7a8.

MLA Handbook (7th Edition):

Rosa, Muhammad Ridho (author). “Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach.” 2018. Web. 05 Mar 2021.

Vancouver:

Rosa MR(. Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:9bd22f02-e0c1-47c8-88f1-768aeb52b7a8.

Council of Science Editors:

Rosa MR(. Synchronization of Uncertain Heterogeneous Agents: An Adaptive Virtual Model Reference Approach. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9bd22f02-e0c1-47c8-88f1-768aeb52b7a8

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