Proceedings chapter
English

Global Analysis of a Lane Merging Strategy for Collaborative Autonomous and Connected vehicles

Presented at16th International Conference on Cellular Automata for Research and Industry, ACRI 2024, Florence, Italy, September 9–11, 2024
Published inCellular Automata, p. 12
PublisherSpringer
Collection
  • Lecture Notes in Computer Science; 14978
First online date2024-09
Abstract

In this paper we suggest a simple algorithm for merging the traffic of a main road with on-ramp traffic. We consider collaborative Connected and Autonomous Vehicles (CAVs). We are interested in the global impact of the merging strategy on the input and output flows of the merging area. We refer to the literature for all local aspects of synchronisation of cars. Our analysis focuses on saturated flows and the control of collective behaviour.

Keywords
  • Lane merging
  • Autonomous car
  • Global analysis
  • On-ramp traffic
Citation (ISO format)
CHOPARD, Bastien, LEONE, Pierre, LUKIC, Luka. Global Analysis of a Lane Merging Strategy for Collaborative Autonomous and Connected vehicles. In: Cellular Automata. Florence, Italy. [s.l.] : Springer, 2024. p. 12. (Lecture Notes in Computer Science) doi: 10.1007/978-3-031-71552-5_18
Main files (1)
Proceedings chapter (Accepted version)
accessLevelRestricted
Identifiers
ISBN978-3-031-71551-8
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Technical informations

Creation10/09/2024 09:11:27
First validation11/09/2024 12:24:49
Update11/09/2024 12:24:49
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