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Mid-America Transportation Center

Automated Image Interpretation of Hazardous Material Transport Incidents


University

Missouri University of Science & Technology

Principal Investigator
Zhaozheng Yin
PI Contact Information
yinz@mst.edu
Funding Source(s) and Amounts Provided
USDOT: $60,000
Intelligent Systems Center at MS&T: $14,798
Dept. of Computer Science at MS&T: $45,202
Total Project Cost
$ 120,000
Agency ID or Contract Number
69A3551747107
Start Date
8/1/2017
In Progress
End Date
12/4/2018
Brief Description of Research Project
During past ten years, on average there were near 16.5 thousands of hazardous materials (hazmat) transport incidents per year resulting in $82 millions of damages. Prompt, accurate, objective assessment on hazmat incidents is important for the first-responders to take appropriate actions timely, which will reduce the damage of hazmat incidents and protect the safety of people and environment. This multi-phase project aims to develop a method of processing and analyzing images captured by the crowdsourcing at incident scenes, which can aid the first-responders for hazmat incident assessment, decision-making and reporting. The outcome of the project will be a component of a smart safety enhancement system that improves the responsiveness and effectiveness of emergency responders and hospitals in dealing with hazardous material transportation incidents.
Describe Implementation of Research Outcomes
Impacts/Benefits of Implementation
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