Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles

Jennifer H Ogle; Vijay Bendigeri; Fengjiao Zou; Ahmad Z Ghafari; Gurcan Comert; Unknown First Name others

Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles

Jennifer H Ogle
, Vijay Bendigeri
, Fengjiao Zou
, Ahmad Z Ghafari
, Gurcan Comert
, Unknown First Name others

Computational Data Science and Engineering

Research output: Contribution to journal › Article

Original language	English
Journal	Center for Connected Multimodal Mobility, Clemson University
State	Published - 2024

Cite this

@article{c9be483a3e734ba0ba35606233d95b57,

title = "Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles",

author = "Ogle, \{Jennifer H\} and Vijay Bendigeri and Fengjiao Zou and Ghafari, \{Ahmad Z\} and Gurcan Comert and others, \{Unknown First Name\}",

year = "2024",

language = "English",

journal = "Center for Connected Multimodal Mobility, Clemson University",

}

TY - JOUR

T1 - Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles

AU - Ogle, Jennifer H

AU - Bendigeri, Vijay

AU - Zou, Fengjiao

AU - Ghafari, Ahmad Z

AU - Comert, Gurcan

AU - others, Unknown First Name

PY - 2024

Y1 - 2024

M3 - Article

JO - Center for Connected Multimodal Mobility, Clemson University

JF - Center for Connected Multimodal Mobility, Clemson University

ER -