Category: Science

Summary: Testing whether moderate ramp-meter memory improves post-incident recovery more in mixed anticipation populations than in homogeneous traffic with the same average anticipation.

Traffic recovery after a temporary bottleneck depends not just on average driver behavior, but on how different driving styles interact. This experiment asks whether moderate ramp-meter memory produces a larger recovery benefit when drivers have heterogeneous anticipation profiles than when everyone behaves like the population average.

The model simulates a Nagel-Schreckenberg traffic system with a temporary shock, ramp-meter memory, and mixed driver anticipation. It tracks whether heterogeneity helps desynchronize braking cascades while the meter memory smooths the merge front during recovery.

That isolates an interaction effect that is easy to miss if only mean driver parameters are studied. The result targets whether behavioral diversity and control memory reinforce each other nontrivially in incident recovery.

Method: Nagel-Schreckenberg traffic simulations with temporary bottlenecks, ramp-meter memory, and heterogeneous anticipation profiles.

What is measured: Recovery speed, congestion dissipation, dependence on ramp-memory strength, heterogeneity benefit, and braking-cascade mitigation.