Unveiling the Capacity Drop Phenomenon Through Traffic Microsimulation: Modeling, Calibration, and Sensitivity Analysis

Unveiling the Capacity Drop Phenomenon Through Traffic Microsimulation: Modeling, Calibration, and Sensitivity Analysis

Blog Article

The Capacity Drop (CD) is a sustained drop in a freeway bottleneck outflow when its upstream section becomes congested.Understanding how to replicate CD with microscopic models can help us to better understand its properties and mechanism.However, 15-eg2373cl there is no published study replicating an observed occurrence of CD using microscopic models.

In this study, we combine a lane-changing model with two widely known car-following models and calibrate the combined model parameters against field data, to replicate the CD in a merge bottleneck.We confirm that both car-following models can reproduce the CD.Moreover, we show that including the cooperative lane-changing behavior in the model is critical for the replication success.

Further, we perform a sensitivity analysis with respect to the ramp demand and maximum acceleration dodge warlord for sale parameters, showing: (i) slower acceleration rate leads to a lower bottleneck throughput, and (ii) higher ramp demand leads to decreased bottleneck throughput.