BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135125Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251014T173000
DTEND;TZID=America/Chicago:20251014T183000
UID:HFESAM_ASPIRE 2025_sess131_POST366@linklings.com
SUMMARY:Rear Vehicle Matters: The Influence of Following Vehicle on Driver
 s’ Car-Following Behaviors
DESCRIPTION:Yang Liu, Jiahao Zhang, Yuxuan Ouyang, and Dengbo He (The Hong
  Kong University of Science and Technology (Guangzhou))\n\nThe car-followi
 ng (CF) behavior is closely related to the likelihood of rear-end collisio
 ns. By modeling CF behaviors, one can design more efficient, energy-saving
 , and comfortable driving control models and identify the influential fact
 ors of driving strategies. Existing CF models mostly assume that the CF be
 haviors depend on the interaction between the lead vehicle (LV) and the eg
 o-vehicle. However, drivers do receive information from the following vehi
 cle (FV) and be influenced by it. Thus, in this study, we aim to understan
 d how drivers’ CF strategies can be affected by the FVs. Specifically, CF 
 event segments from naturalistic driving datasets were extracted to analyz
 e the influence of tailgaters on the CF behaviors of leading ego-vehicle.\
 n\n
END:VEVENT
END:VCALENDAR