2 research outputs found
Sensitivity Analysis for a Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings
Microscopic traffic simulations are powerful tools to evaluate transportation systems. For a simulation model to represent reality at a satisfactory
level, models require calibration. Calibration implies that inputs to the model
(e.g., driving behavior), must be set correctly so that modeled traffic conditions
can mimic reality properly. However, calibration is a cumbersome process. As
the complexity of the model increases, even running the simulation alone can be
time-consuming. Sensitivity Analysis (SA) can be used in this regard. SA can be
defined as the study of model parameters to determine which input parameter (or
combination of them) influences the model output more than the rest of the parameters. This study provides a preliminary SA for the Cooperative Adaptive Cruise
Controlled vehicle car-following model with the use of microscopic simulation
environment SUMO (Simulation of Urban Mobility)
A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment
This work presents a methodology to obtain Dynamic User Equilibrium (DUE) over a road network considering the exhausted gas effect of motorized
traffic. On purpose, three emission models are integrated to the traffic simulator
AIMSUN, and an entire modeling structure is proposed. The proposed methodology is tested on both a hypothetical test network and a real-world network in
Istanbul, Turkey. With the use of dynamic traffic assignment components of AIMSUN, emissions are incorporated into dynamic cost functions. Furthermore, link
travel times are considered in the dynamic cost functions in conjunction with
emissions. The DUE condition is converged according to dynamic cost functions.
Results with the employment of different emission models on a real road network
are compared and discussed