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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)


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.
Original languageEnglish
Title of host publication2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)978-1-5386-6358-5
Publication statusPublished - 2 Jul 2018
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 27 Aug 201830 Aug 2018
Conference number: 88


Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Abbreviated titleVTC2018-Fall
CountryUnited States
Internet address

Cite this