Decision making for connected and automated vehicles: a Max-Plus approach

Mauro Fusco, Elham Semsar-Kazerooni, Jeroen C. Zegers, Jeroen Ploeg

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

In this paper, a method to model the decision making system of Connected and Automated Vehicles (CAVs) is discussed. The method is based on an algebra different from the conventional, the so-called Max-Plus algebra. First, a literature-review on the application of Max-Plus algebra in different sectors is presented. Then, the Max-Plus linear system theory is applied to a high-level decision making system used for the lane reduction scenario of Connected and Automated Vehicles. In the conclusion of this work, Max-Plus linear system theory has been found to be a suitable method to describe high-level decision making systems that are foreseen to be more and more deployed with the disruptive shift towards vehicle automation. In fact, the Max-Plus approach gives a quantitative description of the high-level decision maker, which could then be analyzed and controlled with mathematical tools from control system theory. These tools are similar to the methods available for continuous/discrete time linear systems in control theory.
Originele taal-2Engels
Titel2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-1-5386-6358-5
DOI's
StatusGepubliceerd - 2018
Evenement88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, Verenigde Staten van Amerika
Duur: 27 aug 201830 aug 2018
Congresnummer: 88
http://www.ieeevtc.org/vtc2018fall/

Congres

Congres88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Verkorte titelVTC2018-Fall
LandVerenigde Staten van Amerika
StadChicago
Periode27/08/1830/08/18
Internet adres

Citeer dit

Fusco, M., Semsar-Kazerooni, E., Zegers, J. C., & Ploeg, J. (2018). Decision making for connected and automated vehicles: a Max-Plus approach. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) [8690687] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VTCFall.2018.8690687
Fusco, Mauro ; Semsar-Kazerooni, Elham ; Zegers, Jeroen C. ; Ploeg, Jeroen. / Decision making for connected and automated vehicles : a Max-Plus approach. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Piscataway : Institute of Electrical and Electronics Engineers, 2018.
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Fusco, M, Semsar-Kazerooni, E, Zegers, JC & Ploeg, J 2018, Decision making for connected and automated vehicles: a Max-Plus approach. in 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)., 8690687, Institute of Electrical and Electronics Engineers, Piscataway, 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, Verenigde Staten van Amerika, 27/08/18. https://doi.org/10.1109/VTCFall.2018.8690687

Decision making for connected and automated vehicles : a Max-Plus approach. / Fusco, Mauro; Semsar-Kazerooni, Elham; Zegers, Jeroen C.; Ploeg, Jeroen.

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Piscataway : Institute of Electrical and Electronics Engineers, 2018. 8690687.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AB - In this paper, a method to model the decision making system of Connected and Automated Vehicles (CAVs) is discussed. The method is based on an algebra different from the conventional, the so-called Max-Plus algebra. First, a literature-review on the application of Max-Plus algebra in different sectors is presented. Then, the Max-Plus linear system theory is applied to a high-level decision making system used for the lane reduction scenario of Connected and Automated Vehicles. In the conclusion of this work, Max-Plus linear system theory has been found to be a suitable method to describe high-level decision making systems that are foreseen to be more and more deployed with the disruptive shift towards vehicle automation. In fact, the Max-Plus approach gives a quantitative description of the high-level decision maker, which could then be analyzed and controlled with mathematical tools from control system theory. These tools are similar to the methods available for continuous/discrete time linear systems in control theory.

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Fusco M, Semsar-Kazerooni E, Zegers JC, Ploeg J. Decision making for connected and automated vehicles: a Max-Plus approach. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Piscataway: Institute of Electrical and Electronics Engineers. 2018. 8690687 https://doi.org/10.1109/VTCFall.2018.8690687