| Affiliations: | |
| Project Leader: | Soheil Sohrabi sohrabi.s@tamu.edu Civil Engineering |
| Faculty Mentor: | Dr. Dominique Lord, Ph.D. |
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Meeting Times:
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Friday 2:00PM to 3:00PM (Flexible) |
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Team Size:
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4
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| Open Spots: | 0 |
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Special Opportunities:
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The goal of this project would be publishing a research paper out of it and presenting the work in an international conference. But more importantly, the team leader will walk team members through all steps of research process to gain a real-world research experience.
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Team Needs:
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Motivated team members are needed to participate in one or more project tasks (literature review, data collection and analysis, and reporting the results). A basic knowledge of machine learning and Natural language processing is preferred. |
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Description:
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Automated vehicles (AVs) have the potential to improve traffic safety profoundly, mainly by eliminating driver error. According to the National Highway Traffic Safety Administration (NHTSA), human error contributes to 94% of crashes, and AVs are optimistically expected to prevent these crashes. Nevertheless, more accurate AV safety evaluations are required before deploying AVs. Particularly, based on a survey on three Texas cities, the intent to use AVs and their market success are contingent upon the safety validation of AVs. This study investigates the perceived safety of AVs by exploring tweets. To this end, we conduct a sentiment analysis on tweets and identify the public opinion about the safety of AV as well as contributing factors to their perceptions of AV safety. |