Automatic Calibration of Microscopic Traffic Simulation Models Using Artificial Neural Networks

Automatic Calibration of Microscopic Traffic Simulation Models Using Artificial Neural Networks

Traffic simulations are valuable tools for urban mobility planning and operation, particularly in large cities. Simulation-based microscopic models have enabled traffic engineers to understand local transit and transport behaviors more deeply and manage urban mobility. However, for the simulations t...

Full description

Bibliographic Details
Main Authors: Rodrigo F. Daguano, Leopoldo R. Yoshioka, Marcio L. Netto, Claudio L. Marte, Cassiano A. Isler, Max Mauro Dias Santos, João F. Justo
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
automatic simulation
microsimulation
traffic models
calibration
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/23/21/8798

Internet

https://www.mdpi.com/1424-8220/23/21/8798

Similar Items