Two-second rule two seconds as inadequate, and recommend a three-second rule. German law requires a minimum 0.9 second distance but when tested under relaxed conditions researchers found that their test subjects spent 41% of the test time at following distances under 0.9 second. The United States National Safety Council suggests that a three-second rule—with increases of one second per factor of driving difficulty—is more appropriate. Factors that make driving more difficult include poor lighting conditions (dawn and dusk are the most common); inclement weather (ice, rain, snow, fog, etc.), adverse traffic mix (heavy vehicles, slow vehicles, impaired drivers, pedestrians, bicyclists, etc.), and
Zadeh's Rule Programming and Combinatorial Optimization conference in 2011 by Oliver Friedmann. Zadeh, although not working in academia anymore at that time, attended the conference and honored his original proposal. Zadeh's Rule In mathematical optimization, Zadeh's rule (also known as Least-entered rule) is an algorithmic refinement of the simplex method for linear optimization. The rule was proposed around 1980 by Lotfi A. Zadeh, and has entered the folklore of convex optimization since then. Zadeh offered a reward of $1,000 to anyone who can show that the rule admits polynomially many iterations or to prove that there is a family of linear programs