FACULTY OF ENGINEERING
DEPARTMENT OF COMPUTER ENGINEERING
FEDERAL UNIVERSITY OYE-EKITI
A PROJECT PROPOSAL ON
THE IMPACT OF AI BOT IN THE TRANSPORTATION
INDUSTRY
IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE
AWARD OF BACHELOR OF ENGINEERING (B.ENG) DEGREE
IN COMPUTER ENGINEERING
BY
ILORI DAMILOLA ISAAC
CPE/2019/1072
SUPERVISOR: BARR. DR. A.A. SOBOWALE
OCTOBER, 2024
INTRODUCTION
The transportation industry is undergoing a
revolutionary transformation due to
advancements in artificial intelligence (AI)
technologies. AI bots, which are computer
programs that simulate human conversation
and decision-making, are increasingly being
integrateBed into various facets of
transportation, including logistics,
autonomous vehicles, traffic management,
and customer service. This proposal aims to
explore the multifaceted impact of AI bots on
the transportation sector, highlighting both
the benefits and challenges associated with
their implementation.
Statement of Problem
While the integration of AI bots in
transportation holds significant potential for
improving efficiency and safety, it also
raises critical concerns. These include the
potential for job displacement, ethical
considerations in decision-making, data
privacy issues, and the reliability of AI
systems in complex environments.
Understanding these impacts is essential for
stakeholders ranging from policymakers
to industry leaders to navigate the
challenges and capitalize on the
opportunities presented by AI bots.
Aims and Objectives
The primary aim of this study is to assess
the impact of AI bots on the transportation
industry. The specific objectives include:
1. **To analyze the benefits of AI bots in
enhancing operational efficiency and
customer experience in transportation.**
2. **To identify the challenges and risks
associated with the deployment of AI bots in
this sector.**
3. **To evaluate the implications for
workforce dynamics, including job
displacement and the need for reskilling.**
4. **To explore regulatory and ethical
frameworks necessary for the responsible
use of AI in transportation.**
Methodology
This research will employ a mixed-methods
approach, combining quantitative and
qualitative techniques:
1. **Literature Review:** A comprehensive
review of existing literature on AI technologies
in transportation to identify trends, benefits,
and challenges.
2. **Surveys and Interviews:** Conduct
surveys and interviews with industry
stakeholders, including transportation
companies, policymakers, and technology
developers, to gather firsthand insights on the
impact of AI bots.
3. **Case Studies:** Analyze specific case
studies of organizations that have successfully
implemented AI bots in their operations,
examining the outcomes and lessons learned.
4. **Data Analysis:** Utilize statistical methods
to analyze quantitative data collected from
surveys to identify correlations between AI bot
usage and operational performance metrics.
References
1. Barlow, J. (2020). *AI and the Future of
Transportation*. Journal of Transportation
Technologies.
2. Dhanani, A., & Kaur, R. (2021). The Role of
AI in Logistics and Transportation:
Opportunities and Challenges. *International
Journal of Logistics Research and
Applications*.
3. McKinsey & Company. (2022). *The Future
of Mobility: How AI is Transforming
Transportation*.
4. Smith, T. (2023). Ethical Considerations in
AI Transportation Systems. *Transportation
Research Part A: Policy and Practice*.
Conclusion
The integration of AI bots into the
transportation industry presents a complex
array of impacts that merit thorough
investigation. While the potential for increased
efficiency and enhanced customer
experiences is significant, it is crucial to
address the accompanying challenges and
ethical concerns. This proposal sets the
groundwork for a detailed study that will
provide valuable insights for stakeholders
aiming to leverage AI technology responsibly
and effectively in the transportation sector.
Through a combination of literature review,
stakeholder engagement, and case studies,
this research will contribute to a deeper
understanding of the multifaceted impacts of
AI bots in transportation.
