Literature Database Entry

cavalar2025investigating


Laszlo Joel Cavalar, "Investigating the Use of Traffic Information for Platoon Formation," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), March 2025. (Advisors: Julian Heinovski and Doğanalp Ergenç; Referees: Falko Dressler and Thomas Sikora)


Abstract

Improving fuel economy, road safety and traffic flow, platooning is a concept in which vehicles travel together in a coordinated formation using cooperative and automated driving capabilities. A variety of approaches to form platoons already exist. However, traffic conditions are rarely considered, even though studies have shown their impact on driving behavior, e.g., congested roads limiting the overall speed and thus cause trips to deviate from expected speeds. In this thesis, I incorporate real-time traffic information into the platooning process of existing formation algorithms to investigate its benefits. I create three approaches: expected platoon speed, dynamic alpha, and parameter variation including Ad-hoc platooning. To compare these approaches, I perform large-scale simulations in different traffic scenarios represented by different Levels of Service (LOS). Using a rolling average speed as platoon speed input, also combined with a dynamic approach, enhances existing strategies by leading to better platooning expectations and improving individual driving goals as well as overall traffic conditions. Simple Ad-hoc platooning does not perform worse than existing strategies and requires less complexity. Overall, rolling average speed as input improves existing strategies. I therefore recommend using it as the expected platoon speed of all the approaches presented.

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Laszlo Joel Cavalar

BibTeX reference

@phdthesis{cavalar2025investigating,
    author = {Cavalar, Laszlo Joel},
    title = {{Investigating the Use of Traffic Information for Platoon Formation}},
    advisor = {Heinovski, Julian and Ergen{\c{c}}, Doğanalp},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {3},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2025},
   }
   
   

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Last modified: 2025-05-14