摘要
Autonomous vehicles(AVs)are a promising emerging technology that is likely to be widely deployed in the near future.People's perception on AV safety is critical to the pace and success of deploying the AV technology.Existing studies found that people's perceptions on emerging technologies might change as additional information was provided.To investigate this phenomenon in the AV technology context,this paper conducted real-world AV experiments and collected factors that may associate with people's initial opinions without any AV riding experience and opinion change after a successful AV ride.A number of ordered probit and binary probit models considering data heterogeneity were employed to estimate the impact of these factors on people's initial opinions and opinion change.The study found that people's initial opinions toward AV safety are significantly associated with people's age,personal income,monthly fuel cost,education experience,and previous AV experience.Further,the factors dominating people's opinion change after a successful AV ride include people's age,personal income,monthly fuel cost,daily commute time,driving alone indicator,willingness to pay for AV technology,and previous AV experience.These results provide important references for future implementations of the AV technology.Additionally,based on the inconsistent effects for variables across different models,suggestions for future transportation survey designs are provided.
基金
sponsored by Susan A.Bracken Faculty Fellowship and National Science Foundation Grants CMMI#1558887 and#1932452.
作者简介
Xiaowei Shi is a Ph.D.student in the Civil and EnvironmentalDepartment at the University of South Florida.He obtained hisBachelor and Master degree from Beijing Jiaotong University,Beijing,China in 2015 and 2018,respectively.He obtained hissecond Master degree from the University of South Florida,Florida,the United States in 2020.His main research interestsfocus on the designs and applications of emerging technologieson future transportation systems,such as the autonomousvehicle(AV),and connected and autonomous vehicle(CAV)technologies;Zhen Wang obtained the B.S.degree in automation,the M.S.degree in applied computer technology,and the Ph.D.degree intraffic information engineering and control from Chang'anUniversity at Xi'an,Shaanxi,China in 2014,2016,and 2020,respectively.His current research focus on cooperation amongmulti connected and automated vehicles and autonomous,vehicle test,Mingyang Pei is currently a post-doctoral researcher at Department of Architecture and Civil Engineering,Chalmers University of Technology,Sweden.She got her doctoral degreein Transportation Engineering at the South China University ofTechnology.Her research interests include transportationmodeling and transportation of data-driven analysis;Corresponding author:Xiaopeng Li received a B.S.degree(2006)in civilengineering with a computer engineering minor from Tsinghua University,China,a M.S.degree(2007)and a Ph.D.(2011)degree in civil engineering along with a M.S.degree(2010)inapplied mathematics from the University of Illinois at Urban-Champaign,USA He is an associate professor and Susan A.Bracken Faculty Fellow(first holder)in the Department of Civil and Environmental Engineering at the University of South Florida(USF).He is also the director for one USDOT national university transportation center,National Institute for Congestion Reduction(NICR).His research interests include automatedconnected,electric and shared(ACES)vehicles,interdependent infrastructure systems,operations research&artificial intelligence.E-mail address:xiaopengli@usf.edu.
