What are the main challenges of implementing AI in traffic management?
Some key challenges include data quality, integration with existing systems, and public acceptance.
How does data quality affect AI in traffic management?
Data quality is crucial because AI relies on accurate and timely data to make effective decisions.
What about the integration with existing systems?
Integrating AI with legacy systems can be complex, requiring significant resources and expertise.
Can you explain the public acceptance issue?
Public acceptance is vital; people need to trust AI systems for them to be effective in traffic management.
What are some potential solutions to these challenges?
Potential solutions include improving data collection methods, enhancing system interoperability, and engaging with the community.
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