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.
Men will literally let an AI kill thousands of drivers a year instead of
going to therapybuilding high-speed rail.Yeah this sounds more like a distraction so as not to spend a single dollar extra on real measures.
I hope it tells them to reduce the number of cars and expand public transport programs.
Traffic managers hate this one weird trick.
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:
- Improving public transportation: Expand and upgrade the subway, bus, and light rail systems to provide more convenient and reliable alternatives to driving.
- Encouraging carpooling: Implement incentives for carpooling such as HOV lanes, discounted tolls, and priority parking.
- Implementing congestion pricing: Charge drivers for using congested roads during peak hours to reduce demand for travel during these times.
- Improving road networks: Invest in road infrastructure such as widening freeways, improving intersections, and adding toll lanes to increase capacity and reduce bottlenecks.
- Promoting active transportation: Encourage walking, biking, and scootering by building more bike lanes and sidewalks and creating bike-share programs.
- Encouraging telecommuting: Encourage employers to offer more flexible work arrangements such as telecommuting and flexible hours, reducing the need for commuting during peak hours.
- Land use planning: Encourage more compact, mixed-use development patterns that reduce the need for long commutes and car trips.