Abstract
Workers of hazardous material (hazmat) transportation have a higher chance than other workers to be exposed to various risks in their workplace. Assisting them to safely operate in their workplace in a near real-time manner is in particular need. This paper presents a study of designing, prototyping and developing feedback systems to help increase the risk awareness of workers in the loading and uploading phases of hazmat transportation. The first system was prototyped on an Arduino board, serving as the reference for system development. Then, the second system, named a Bluetooth Low Energy (BLE) beacon based system, was designed as a smart connected system. It integrated technologies of Bluetooth low energy sensor, mobile smart device, the Cloud, wireless communication, and mobile applications. The smart connected system is more capable than the Arduino based system in providing safety information to workers. A comparison of the respective technologies utilized in the two systems further indicates that the improved capability of the smart connected system is mainly on the dimensions of interactivity, mobility, information richness, and connectivity.
Recommended Citation
J. Xue et al., "Risk Awareness Enhancement Systems for Hazmat Transportation: Prototyping and Technology Evaluation," 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019, American Society for Engineering Education (ASEE), Oct 2019.
Meeting Name
American Society for Engineering Management Conference, ASEM 2019 (2019: Oct. 23-26, Philadelphia, PA)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Cyber-physical systems; Hazardous material; Safety; Smart connected systems; Transportation workers
International Standard Book Number (ISBN)
978-099751956-3
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 American Society for Engineering Management (ASEM), All rights reserved.
Publication Date
26 Oct 2019
Comments
This research is funded by the Mid-America Transportation Center via a grant from the U.S. Department of Transportation’s University Transportation Centers Program (25-1121-0005-130[00059765]) and by the Department of Engineering Management and Systems Engineering at Missouri University of Science and Technology.