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How Can AI Solve Urban Traffic Problems?

There are several ways AI might enhance city traffic management.

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Level 1

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Traffic Signal Control

AI-assisted signal management can ease traffic congestion and increase traffic flow.

Level 2

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Smart Parking

Drivers may easily and quickly discover parking spaces by using AI.

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Law Enforcement

AI can aid in the unbiased and more effective enforcement of traffic laws.

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Transit Planning

AI can help to enhance public transportation systems and services by providing stronger routing, scheduling, and demand forecasting skills.

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Automated Vehicles

Self-driving cars, buses, lorries, and drones are just a few examples of automated vehicles (AVs) that may be developed and used with the aid of AI.

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Cybersecurity Issues

AI systems rely on data that may be altered or hacked since it comes from many devices and sources.

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Economic Questions

Several stakeholders in urban transport may have significant financial effects as a result of AI systems.

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Ethical Considerations

The employment of AI systems to control urban traffic may raise ethical questions about the underlying principles, values, and commitments.

Even while AI has the potential to greatly improve urban traffic management, it shouldn't replace human judgement, supervision, or participation.