Research on Intelligent Reasoning and Decision Algorithm for Autonomous Vehicle in Context of Narrow Road Intersections
- DOI
- 10.2991/978-94-6463-262-0_76How to use a DOI?
- Keywords
- Narrow Roads; Cross Point; Autonomous Vehicle; Intelligent Reasoning
- Abstract
This article focuses on the precise decision-making problem of driving speed and safety of Autonomous Vehicle at narrow road intersections, and develops a collaborative decision-making platform for the safety of Autonomous Vehicle at narrow road intersections. The platform includes three parts: data collection, decision control, and intelligent collaboration. The design of an intelligent safety assistance system for Autonomous Vehicle at narrow road intersections mainly includes information collection, information extraction, decision control, and functional execution. Based on the position and speed of Autonomous Vehicle at narrow road intersections, the movement feature judgment mode of Autonomous Vehicle at narrow road intersections was analyzed. The intelligent signal lights at narrow road intersections can flexibly switch between three conditions, facilitating artificial intelligence information to prompt vehicles, increasing the speed of intersections, and providing reference for intelligent decision-making of Autonomous Vehicle at narrow road intersections.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Like Wang PY - 2023 DA - 2023/10/09 TI - Research on Intelligent Reasoning and Decision Algorithm for Autonomous Vehicle in Context of Narrow Road Intersections BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 734 EP - 745 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_76 DO - 10.2991/978-94-6463-262-0_76 ID - Wang2023 ER -