arXiv cs.CY· Luyang Jiang, Chuheng Wei, Yaguang Li, Shaoqi Wang, Yupeng Zhou, Hyunsoo Yun, Xishun Liao, Brandon Pitts, Ziran Wang·· 11 小时前AI 评分23
InterSim：用于人在回路驾驶仿真的创新交叉口数字孪生
InterSim: Innovative Intersection Digital Twins for Human-in-the-Loop Driving Simulation
AI 导读
InterSim 是一个基于 Unity 游戏引擎的人在回路（HITL）驾驶模拟器，可在虚拟环境中为特定地点的创新交叉口构建数字孪生。它通过数字孪生循环和 HITL 循环连接真实世界与仿真世界，让人类驾驶员或自动驾驶算法在相同场景条件下操控自车。
正文 · 原文
Abstract:Innovative intersection designs can improve roadway safety and operational efficiency, but their uncommon geometries may create challenges for driver comprehension during early deployment. Evaluating these designs through full-scale field implementation can also be costly. This paper presents InterSim, a Unity game engine-based human-in-the-loop (HITL) driving simulator that constructs digital twins of site-specific innovative intersections in a virtual environment. InterSim links the real world and the simulation world through two closed cycles: a digital twin cycle that builds each intersection twin from agency design and traffic data and returns evidence from simulation to the agency, and an HITL cycle in which human drivers or automated driving algorithms operate the ego vehicle under identical scenario conditions. The research capabilities of InterSim are demonstrated through two case studies: a surrogate safety study compares post-encroachment time distributions between a Reduced Conflict Intersection and a standard intersection under different traffic volumes; an eco-driving study compares human drivers with a rule-based agent using vehicle-to-infrastructure information and reveals differences in emission and driving behavior. These studies demonstrate that InterSim provides a reusable digital twin platform for investigating innovative intersection designs from diverse perspectives. Demo video and open-source code can be accessed at this https URL
| Subjects: | Computational Engineering, Finance, and Science (cs.CE); Computers and Society (cs.CY); Emerging Technologies (cs.ET) |
| Cite as: | arXiv:2611.05968 [cs.CE] |
| (or arXiv:2611.05968v1 [cs.CE] for this version) | |
| https://doi.org/10.48550/arXiv.2611.05968 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Luyang Jiang [view email]
[v1]
Wed, 4 Nov 2026 05:03:34 UTC (36,536 KB)
来源：arXiv cs.CY · arxiv.org