ITSC 2025 Paper Abstract

Paper FR-LA-T38.2

Liu, Haolin (Beijing Institute of Technology), Guo, Zijun (Beijing Institute of Technology), Chen, Yanbo (Beijing Institute of Technology), Chen, Jiaqi (Beijing Institute of Technology), Yu, Huilong (Beijing Insitute of Technology), Xi, JunQiang (Beijing Institute of Technology)

An Evolutionary Game-Theoretic Merging Decision-Making Considering Social Acceptance for Autonomous Driving

Scheduled for presentation during the Regular Session "S38c-Towards Scalable and Trustworthy AI in Connected Mobility" (FR-LA-T38), Friday, November 21, 2025, 16:20−16:40, Coolangata 2

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Keywords Ethical Decision Making in Autonomous and Semi-autonomous Vehicles, Trust, Acceptance, and Public Perception of Autonomous Transportation Technologies, Cooperative Driving Systems and Vehicle Coordination in Multi-vehicle Scenarios

Abstract

Highway on-ramp 合并对自动驾驶汽车（AV），因为它们必须主动与周围的车辆互动以进入主干道在有限的时间内安全。但是，现有的决策算法未能充分解决自动驾驶汽车的动态复杂性和社会接受度，引领到次优或不安全的合并决策。为了解决这个问题，我们提出了一种进化博弈论（EGT）合并决策框架，以 Bounded 为基础人类驾驶员的理性，动态平衡 AV 和主干道车辆（MV）的好处。我们将切入决策过程制定为 EGT 多目标 payoff 函数的问题，该反映类似人类的驾驶偏好。通过解决进化稳定的 Replicator 动力学方程策略（ESS）中，推导出最佳切入