Category: Science

Summary: Testing whether moderate ramp-meter memory improves bottleneck flow only when driver anticipation is sufficiently heterogeneous.

Traffic bottlenecks depend on both control policy and driver behavior. This experiment asks whether keeping memory in ramp metering helps smooth merging only in populations with a broad spread of anticipation levels, rather than improving flow uniformly.

The model uses a Nagel-Schreckenberg-style traffic system with a metered on-ramp, tunable persistence in the metering signal, and heterogeneous anticipation among drivers. It compares throughput and jam formation across memory strengths to test whether too little memory underreacts while too much simply shifts congestion into the ramp queue.

That makes the project an interaction study between policy memory and behavioral diversity. The key question is whether control gains require enough heterogeneity to take advantage of smoother merge patterns.

Method: Nagel-Schreckenberg traffic simulations of a bottleneck with ramp metering, driver anticipation heterogeneity, and metering-memory sweeps.

What is measured: Throughput, jam suppression, ramp-queue burden, dependence on anticipation heterogeneity, and evidence for an intermediate best memory.