
- Automated Vehicles (AVs):
- The passage acknowledges the hype around AVs, describing a future where private ownership of vehicles diminishes, and people use autonomous private pods for transportation.
- It raises concerns about the feasibility of this scenario, citing affordability issues and the necessary infrastructure for efficient and safe AV services.
- The potential for increased congestion due to a surge in individual AV trips is highlighted.
- The passage argues that mass transit will likely remain an essential component of urban transportation, even in the presence of AVs.
- Evolution of Public Transport with AI:
- The passage suggests that, instead of a revolution, AI can contribute to the evolution of public transport.
- It compares the evolution of transport technologies, from paper tickets to smart cards, and now, the integration of AI.
- AI is presented as the latest tool in a chain of improvements, and it emphasizes that AI is still in its early stages in terms of capability and application.
- Role of Data in AI:
- The importance of data as the fuel for AI is highlighted. The existing ticketing, journey planning, and fleet management software generate substantial amounts of useful data.
- The passage mentions that public transport data is already available in a usable format, allowing for the potential integration of AI without significant additional processing.
- It acknowledges the existence of poor-quality data in non-standard formats but emphasizes the availability of well-structured public transport data.
- Route Analysis:
- The passage identifies a common problem in public transport: the challenge of determining optimal service routes based on current and potential demand.
- It suggests that AI can analyze large datasets, including information on demographics, travel patterns, and other relevant factors, to recommend changes in routes with confidence.
- The time-consuming nature of this complex analysis without AI is highlighted, emphasizing the efficiency AI brings to this task.
- Safety and Security:
- Safety and security concerns in public transport are addressed, with a focus on the application of AI through video analytics.
- AI is described as capable of detecting and alerting staff about potential issues, such as aggressive behavior, suspicious actions, or situations where people and luggage part ways unexpectedly.
- The importance of human intervention based on AI alerts is emphasized, acknowledging the potential biases in AI programs due to the data collection methods and historical biases.
- Fraud Prevention:
- The passage discusses the application of AI in fraud prevention within public transport.
- Certain behaviors that may indicate potential fare evasion, such as jumping barriers or reversing a journey during inspections, can be identified by AI.
- It underscores the importance of avoiding automatic assumptions based on AI alerts, recognizing that certain behaviors might have legitimate reasons, and unjustly accusing individuals based on appearance is unethical and counterproductive.
Resources
1.https://chat.openai.com/
2.https://deepai.org/
3.https://www.initse.com/ende/news-resources/knowledge-database/articles/2023/artificial-intelligence-in-public-transport/
4.https://www.intelligenttransport.com/transport-articles/131855/artificial-intelligence-public-transport/
5.https://www.linkedin.com/