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Action-Point in Human Driving

Wagner, Peter (2020) Action-Point in Human Driving. TRB Annual Conference 2020, 12.-16. Jan. 2020, Washington, USA.

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When following a vehicle, drivers often change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed. In the state-space spanned by speed-difference and distance to the lead vehicle, this distribution is mostly proportional to the distribution of all data-points, with small deviations from this. Therefore, the APs are not concentrated around certain thresholds as is claimed by psycho-physical car-following models. Instead, small distances indicate a slightly higher probability of finding an AP than is the case for large distances. The time-differences between subsequent action-points follow a one-humped distribution that is comparable with a log-normal-distribution. Both results lend support to the hypothesis that APs are not triggered by the crossing of certain perception thresholds.

Item URL in elib:https://elib.dlr.de/130144/
Document Type:Conference or Workshop Item (Poster)
Title:Action-Point in Human Driving
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wagner, PeterUNSPECIFIEDhttps://orcid.org/0000-0001-9097-8026UNSPECIFIED
Date:January 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Car-following, Action-point, Perception threshold
Event Title:TRB Annual Conference 2020
Event Location:Washington, USA
Event Type:international Conference
Event Dates:12.-16. Jan. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Evaluation of Transportation
Deposited By: Wagner, Dr. Peter
Deposited On:08 Nov 2019 15:39
Last Modified:08 Nov 2019 15:39

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