Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm

Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm

This study introduces a data-driven approach to calibrate microscopic traffic simulation models like VISSIM using high-resolution trajectory data, aiming to improve simulation accuracy and fidelity. The study focuses on a highway segment of NJ-3 and NJ-495 in Hudson County, New Jersey, selected as a...

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Bibliographic Details
Main Authors: Abolfazl Afshari, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
traffic microsimulation models
calibration
connected vehicles
trajectories
driving behavior parameters
Genetic Algorithm
Online Access:https://www.mdpi.com/2076-3417/15/3/1496
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