this post was submitted on 09 Jan 2024
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California wants to reduce traffic. The Newsom administration thinks AI can help (finance.yahoo.com)
submitted 10 months ago by L4s@lemmy.world to c/technology@lemmy.world
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California wants to reduce traffic. The Newsom administration thinks AI can help::Caltrans says AI can help generate recommendations so workers can take steps to improve the flow of traffic and potentially prevent accidents on the road.

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[–] lnxtx@feddit.nl -3 points 10 months ago

How does ChatGPT answers some of the toughest questions in traffic issues:

Reducing traffic in Los Angeles would require a multi-faceted approach that addresses both supply and demand factors. Some solutions include:

  1. Improving public transportation: Expand and upgrade the subway, bus, and light rail systems to provide more convenient and reliable alternatives to driving.
  2. Encouraging carpooling: Implement incentives for carpooling such as HOV lanes, discounted tolls, and priority parking.
  3. Implementing congestion pricing: Charge drivers for using congested roads during peak hours to reduce demand for travel during these times.
  4. Improving road networks: Invest in road infrastructure such as widening freeways, improving intersections, and adding toll lanes to increase capacity and reduce bottlenecks.
  5. Promoting active transportation: Encourage walking, biking, and scootering by building more bike lanes and sidewalks and creating bike-share programs.
  6. Encouraging telecommuting: Encourage employers to offer more flexible work arrangements such as telecommuting and flexible hours, reducing the need for commuting during peak hours.
  7. Land use planning: Encourage more compact, mixed-use development patterns that reduce the need for long commutes and car trips.