Open AccessChoice of speed under compromised Dynamic Message Signs
Author(s) -
Kaveh Bakhsh Kelarestaghi,
Alireza Ermagun,
Kevin Heaslip,
John M. Rose
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0243567
Subject(s) - ordered probit , set (abstract data type) , multivariate statistics , multivariate probit model , human factors and ergonomics , poison control , computer science , text message , computer security , psychology , medicine , environmental health , machine learning , computer network , programming language
This study explores speed choice behavior of travelers under realistic and fabricated Dynamic Message Signs (DMS) content. Using web-based survey information of 4,302 participants collected by Amazon Mechanical Turk in the United States, we develop a set of multivariate latent-based ordered probit models participants. Results show female, African-Americans, drivers with a disability, elderly, and drivers who trust DMS are likely to comply with the fabricated messages. Drivers who comply with traffic regulations, have a good driving record, and live in rural areas, as well as female drivers are likely to slow down under fabricated messages. We highlight that calling or texting, taking picture, and tuning the radio are distracting activities leading drivers to slow down or stop under fictitious scenarios.