Public opinion about automated vehicles in Australia: Results from a large-scale national survey

ML Cunningham, MA Regan, T Horberry… - … research part A: policy …, 2019 - Elsevier
… Labels and descriptive statistics for all survey items in the present study are contained in
Table 2. This section will therefore present only an overview of high-level findings derived from …

An accelerated testing approach for automated vehicles with background traffic described by joint distributions

Z Huang, H Lam, D Zhao - 2017 IEEE 20th International …, 2017 - ieeexplore.ieee.org
… based on joint statistical models for evaluating risks of automated vehicles in a naturalistic …
for automated vehicles are extended from multi-independent-variate models to joint statistics. …

International study on the importance of communication between automated vehicles and pedestrians

B Zandi, T Singer, J Kobbert, TQ Khanh - Transportation research part F …, 2020 - Elsevier
… Due to the number of groups (nationalities), scenarios and messages, the possibilities of
conducting statistical analysis were quite high. Depending on which hypothesis is pursued, one-…

Accelerated evaluation of automated vehicles using extracted naturalistic driving data

D Zhao, H Peng, S Bao, K Nobukawa… - … of Vehicles on …, 2015 - api.taylorfrancis.com
… Based on the statistical analysis of a large-scale naturalistic driving database, stochastic
driver models were built to simulate the actions of the vehicles surrounding the AV. Such driver …

What do we (Not) know about our future with automated vehicles?

M Harb, A Stathopoulos, Y Shiftan, JL Walker - Transportation research part …, 2021 - Elsevier
automated vehicles (AV) industry will be worth $7 trillion by 2050. The battle to develop
automated vehicle … Waymo's automated vehicles drove one million miles in total between 2009 …

Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques

D Zhao, H Lam, H Peng, S Bao… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
… In this research, we developed a lane change statistical model and demonstrated its use
for accelerated evaluation of a frontal collision avoidance algorithm. The data used is from the …

Crash themes in automated vehicles: A topic modeling analysis of the California Department of Motor Vehicles automated vehicle crash database

H Alambeigi, AD McDonald, SR Tankasala - arXiv preprint arXiv …, 2020 - arxiv.org
… selected through a hybrid model of sensitivity analysis and topic overlap. The sensitivity
analysis consisted of an iterative investigation of model fit statistics by the number of topics in the …

Individual differences and expectations of automated vehicles

Q Zhang, XJ Yang, LP Robert Jr - International Journal of Human …, 2022 - Taylor & Francis
… Therefore, our analysis was designed to detect subgroup population differences based on …
, a statistical analysis was performed using IBM SPSS Statistics software. One-way analysis of …

Using reaction times and accident statistics for safety impact prediction of automated vehicles on road safety of vulnerable road users

A Hula, R de Zwart, C Mons, W Weijermars, H Boghani… - Safety science, 2023 - Elsevier
… This article derives a statistics-based estimate of the safety impact from utilizing automated
vehicles … When introducing AVs safety is an important concern, since automated vehicles as a …

Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
… In this section, the key findings emerging from statistical analysis for AV-involved rear-end
and injury crash propensity are discussed. Since Bayesian hierarchical random parameter …