@Authors: WANG Shixiong (Email: [email protected]; [email protected]), LI Xinke (Email: [email protected]), Chen Zhirui (Email: [email protected])

@Affiliate: Department of Industrial Systems Engineering and Management, National University of Singapore

@Date: First Uploaded Aug 08, 2023

MATLAB Version: 2019B or later

PSOPT Version: 5.0.2 (Language C++)

Python Version:

Online supplementary materials of the paper titled

A Railway Accident Prevention System Using An Intelligent Pilot Vehicle

Published in the IEEE Transactions on Intelligent Transportation Systems (DOI: 10.1109/TITS.2023.3331901)

By Shixiong Wang*, Xinke Li*, Zhirui Chen, and Yang Liu (The * marks equal contribution.)

From the Department of Industrial Systems Engineering and Management and the Department of Civil and Environmental Engineering, National University of Singapore

Codes

• The folder "Autonomous Driving" contains all the source data and codes for the autonomous driving of the pilot vehicle. They are used to generate figures and tables in Section III.

• The folder "Visual Inspection" contains all the source data and codes for the visual inspection method of the camera installed on the pilot vehicle. They are used to generate figures and tables in Section IV.

Warrant

Files/codes here are allowed to be edited, distributed, and re-used for any academic/teaching purpose without any warrant. However, you are strongly suggested to share your codes with the public if you are planning to use codes here. Let's work together to guarantee the reproducibility of experiments and the verifiability of claims in publications. We believe that this is meaningful to facilitate future research of the intelligent transportation community.

Disclaimer

Note that the mentioned reproducibility and verifiability do not necessarily guarantee the (absolute) correctness of academic claims in a scientific publication. Future research may deny or modify or improve the philosophies, methods, models, and/or claims conveyed in this article. But readers should not try to "find bones from an egg", and the codes here are just for their reference, not for their unfriendly criticism. Of course, the authors are open to learning, and friendly comments are always welcomed.