Autonomous vehicles (AVs) have the potential to revolutionize transportation by offering safer, more efficient, and convenient mobility solutions. As AV technology advances, there is a growing need to understand and model traffic dynamics in environments where AVs interact with human-driven vehicles. This review provides a comprehensive overview of the modeling techniques used to simulate and analyze autonomous vehicle traffic. It covers the fundamental principles of AVs, key factors influencing traffic dynamics, various modeling approaches, their applications, challenges, and future directions in AV traffic modeling.
机构:
Department of Computer Science and Technology, Tsinghua University, 100084, BeijingDepartment of Computer Science and Technology, Tsinghua University, 100084, Beijing
Mu, Guo
Xinyu, Zhang
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computer Science and Technology, Tsinghua University, 100084, BeijingDepartment of Computer Science and Technology, Tsinghua University, 100084, Beijing
Xinyu, Zhang
Deyi, Li
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computer Science and Technology, Tsinghua University, 100084, BeijingDepartment of Computer Science and Technology, Tsinghua University, 100084, Beijing
Deyi, Li
Tianlei, Zhang
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computer Science and Technology, Tsinghua University, 100084, BeijingDepartment of Computer Science and Technology, Tsinghua University, 100084, Beijing
Tianlei, Zhang
Lifeng, An
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computer Science and Technology, Tsinghua University, 100084, BeijingDepartment of Computer Science and Technology, Tsinghua University, 100084, Beijing
Lifeng, An
Mu, Guo (guom08@gmail.com),
1600,
Beijing University of Posts and Telecommunications
(22):
: 50
-
56