Summary of Artificial Intelligence in Traffic Systems, by Ritwik Raj Saxena
Artificial Intelligence in Traffic Systems
by Ritwik Raj Saxena
First submitted to arxiv on: 16 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract reviews AI-based traffic management systems that leverage techniques like fuzzy logic, reinforcement learning, deep neural networks, and evolutionary algorithms. The paper focuses on areas where AI intersects with traffic management, including AI-powered traffic signal control, automatic distance and velocity recognition, smart parking systems, and Intelligent Traffic Management Systems (ITMS). AI applications cover streamlining traffic signal timings, predicting bottlenecks, detecting accidents, managing incidents, advancing public transportation, developing driver assistance systems, and minimizing environmental impact. The benefits of AI in traffic management include improved data management, sounder route decision automation, easier issue resolution, decreased snarls and mishaps, superior resource utilization, alleviated stress on traffic management personnel, greater road safety, and better emergency response times. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial intelligence can help make our roads safer and more efficient. This paper looks at how AI is used in traffic management systems to improve things like traffic light timing, accident detection, and route planning. It also covers smart parking systems and how AI can help with traffic congestion. By using AI, we can get better data about traffic, make decisions faster, and respond quickly to emergencies. This can lead to a lot of benefits, including fewer accidents, less traffic jamming, and more efficient use of resources. |
Keywords
» Artificial intelligence » Reinforcement learning
