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Traffic Has a Perfect Solution. Humans Are the Problem.

CGP Grey · explainer · Watch on YouTube

Transit, cities & urban planningSelf-driving & autonomous vehiclesPsychology & human behavior

What it is

CGP Grey explains how traffic jams come from human driving behavior such as tailgating and reaction delays, and how leaving gaps and smoothing speed would reduce congestion. It also touches on self-driving cars.

Why Hacker News recommends it

HN cites it as a concise, well-illustrated explanation of traffic flow, in threads on congestion, self-driving cars and driving habits.

  • 6 people recommended it
  • 6 different months
  • 0 strong recommendations
  • first 2016, last 2026

What HN commenters said

  1. “CGP Grey has a great video on traffic flow”

    Explains why gliding beats stop-and-go traffic.

    heimatau, 2019-01 · Recommendation · in “Queueing theory: The science of waiting in line”

  2. “Your goal, as a driver, should be to try to maintain equivalent distance”

    Advises keeping equal distance between cars ahead and behind.

    yreg, 2019-04 · Recommendation · in “Microsimulation of Traffic Flow”

  3. “CGP Grey did a really nice, concise video on the topic of traffic”

    Concise video arguing coordination, not cars, is the problem.

    Timpy, 2019-10 · Recommendation · in “Ants Are Practically Immune to Traffic Jams”

  4. “CGP Gray's simple solution to traffic and good visuals.”

    Simple solution to traffic with good visuals.

    mjevans, 2021-10 · Recommendation · in “AI predicts accident hot-spots from satellite imagery and GPS data”

  5. “This video illustrates the principle”

    Illustrates how tailgating cascades into braking for nonexistent obstacles.

    pchristensen, 2024-08 · Recommendation · in “Robocars improve traffic even when most cars around them are driven by people”

  6. “This youtube talks about it”

    Explains why following space prevents cascading hard-braking events.

    maerF0x0, 2026-02 · Recommendation · in “Hard-braking events as indicators of road segment crash risk”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: traffic jams, congestion, self-driving cars, driving behavior, phantom jams

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