A Study of Route Choice Behavior of Drivers in Autonomous Vehicles

The ability of an Autonomous Vehicle (AV) to self-drive would make travel less onerous for drivers. As a result, drivers might not be keen to travel on a quicker route as they can still be productive while driving. This study aims to analyze route choice of AV drivers, particularly, the effect of using AV on the Value of Time (VoT) of drivers. The existing literature suggests a reduction in the VoT of AV when compared to non-AV users. However, these studies qualitatively evaluated the magnitude of reduction which lacks realism. This study quantitatively evaluates the VoT of AV and non-AV users. Two sets of stated choice experiments were given to the participants to understand their route choice behavior. This study also conducts a driving simulator study to give AV driving experience to the participants before presenting the same SC survey. The collected datasets are analyzed using the multinomial logit regression technique. The results show that the VoT decreases in autonomous driving and that high and low income groups have a different magnitude of reduction. Additionally, it is found that drivers show a greater reduction in the VoT upon AV experience. The results also indicate that people gain more trust on the AV technology when given AV driving experience. Findings from this study can provide useful information to policy makers in conducting appraisals of the future projects when AV will also form part of the road environment.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
• Authors:
  • Wong, Tat Wang
  • Saxena, Neeraj
  • Dixit, Vinayak V
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 8p

Subject/Index Terms

• TRT Terms: Behavior; Drivers; Intelligent vehicles; Route choice; Value of time
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01660250
• Record Type: Publication
• Report/Paper Numbers: 18-02686
• Files: TRIS, TRB, ATRI
• Created Date: Feb 20 2018 9:27AM