Category: Science

Summary: Testing whether intermediate driver caution memory best damps incident-driven stop-go waves over a finite incident-duration window.

Localized traffic incidents can trigger stop-go waves long after the original obstruction begins to clear. This experiment asks whether memory in drivers’ caution response helps damp those waves, and whether the benefit appears only for certain incident durations rather than uniformly.

The model uses a Nagel-Schreckenberg traffic system with a persistent incident zone and heterogeneous caution-memory times among drivers. It compares no-memory, moderate-memory, and long-memory regimes to see whether underreaction and overbraking each create their own failure modes.

That turns a qualitative traffic-control intuition into a measurable crossover problem. The goal is to locate when memory stabilizes flow and when it instead prolongs congestion.

Method: Nagel-Schreckenberg traffic simulations with localized incidents, heterogeneous caution-memory, and sweeps over incident duration.

What is measured: Stop-go-wave strength, throughput, dependence on caution-memory timescale, incident-duration sensitivity, and support for an intermediate best regime.