@inproceedings{89aed4a081ed411f94b96e8e7ead861b,
title = "Autonomous Driving Simulation Platform for Hybrid Traffic",
abstract = "In hybrid traffic where autonomous vehicles share roads with human-driven vehicles, mismatch between estimated and actual behaviors of human-driven vehicles leads to inefficient control, and results collisions in the worst case. The paper aims to propose a method to reduce the risks generated by human-driven vehicles. We uses the widespread internet of things and the number of the connected devices in intelligent transportation for safety, energy saving and comfort. We also address the emerging technologies in intelligent transportation environments. A simulation platform for hybrid traffic is proposed and designed to simulate various scenarios that are difficult to study in the real world. Simulation results demonstrate that our method can improve driving efficiency.",
keywords = "autonomous driving simulation platform, driving efficiency, human-driven vehicles",
author = "Zhicao Song and Jinhui Fang and Ziyi Yang and Shuai Wang and Gaofeng Pan",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 13th IEEE International Conference on Communications, Circuits, and Systems, ICCCAS 2024 ; Conference date: 10-05-2024 Through 12-05-2024",
year = "2024",
doi = "10.1109/ICCCAS62034.2024.10652809",
language = "English",
series = "2024 IEEE 13th International Conference on Communications, Circuits, and Systems, ICCCAS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "136--141",
booktitle = "2024 IEEE 13th International Conference on Communications, Circuits, and Systems, ICCCAS 2024",
address = "United States",
}