Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters
This study proposes a methodology for the calibration of microscopic traffic flow simulation models by enabling simultaneous selection of traffic links and associated parameters. The analyst selects any number and combination of links and model parameters for calibration. Most calibration methods co...
Saved in:
Main Authors: | Alexander Paz, Kul Shrestha, Cristian Arteaga, Douglas Baker |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/8897141 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Microscopic Traffic Simulation Calibration Level for Reliable Estimation of Vehicle Emissions
by: Jinsoo Kim, et al.
Published: (2020-01-01) -
A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators
by: Qinqin Chen, et al.
Published: (2021-01-01) -
Bridging Macro–Microscopic Parameters: Correspondence and Calibration Approaches
by: Wei Li, et al.
Published: (2025-01-01) -
Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data
by: Facundo Storani, et al.
Published: (2024-01-01) -
Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling
by: Ammar Jafaripournimchahi, et al.
Published: (2022-01-01)