Variations in Driver Behavior: An Analysis of Car-Following Behavior Heterogeneity as a Function of Road Type and Traffic Condition

Berthaume, Andrew; James, Rachel M.; Hammit, Britton E.; Foreman, Christina; Melson, Christopher; John A. Volpe National Transportation Systems Center (U.S.); Turner-Fairbank Highway Research Center

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Variations in Driver Behavior: An Analysis of Car-Following Behavior Heterogeneity as a Function of Road Type and Traffic Condition

2017-11-15
By Berthaume, Andrew ; James, Rachel M. ; Hammit, Britton E. ; ...

[PDF-841.26 KB]

English

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Details:

Creators:

Berthaume, Andrew ; James, Rachel M. ; Hammit, Britton E. ; Foreman, Christina ; Melson, Christopher

Berthaume, Andrew ; James, Rachel M. ; Hammit, Britton E. ; Foreman, Christina ; Melson, Christopher Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.) ; Turner-Fairbank Highway Research Center

John A. Volpe National Transportation Systems Center (U.S.) ; Turner-Fairbank Highway Research Center Less -
Subject/TRT Terms:

[+]

Acceleration (Mechanics) Car Following Driver Behavior Heterogeneity Intra-driver Microsimulation Psychophysical Work Zones
Publication/ Report Number:

TRB 18-06005
Resource Type:

Research Paper
Geographical Coverage:

United States
Corporate Publisher:

John A. Volpe National Transportation Systems Center (U.S.)
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-HIGHWAY/ROAD TRANSPORTATION-Construction and Maintenance;NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow;NTL-OPERATIONS AND TRAFFIC CONTROLS-Congestion;
Abstract:

Microsimulation modeling is a tool used by practitioners and researchers to predict and evaluate the flow of traffic on real transportation networks. These models are used in practice to inform decisions and thus must reflect a high level of accuracy. Microsimulation models are comprised of sub-models, which control individual vehicle movements throughout the simulated network. These sub-models must be calibrated to accurately capture realistic driving behavior. This research utilizes data collected by the FHWA Living Laboratory instrumented research vehicle to produce evidence of global trends in car-following behavior. Unlike similar studies, this analysis focuses on the physical action taken by the driver—the acceleration— rather than the outcome of that action—speed selection or temporal/spatial gap. This approach enables better interpretation and comparison between car-following behavior in varying “driving environments”: that is, on different roadway functional classifications (freeway vs. interstate), operational conditions (work zone vs. non-work zone), and traffic conditions (congested vs. uncongested). This analysis produces conclusive evidence that intra-driver car-following behavior is heterogeneous and is a function of the driving environment. Trends in acceleration behavior are examined on an aggregated psychophysical plane, which accounts for inter-driver heterogeneity, and a statistical analysis identifies regions of significantly different acceleration behavior. Lastly, heterogeneity in car-following acceleration behavior in work zones and non-work zones was also verified.
Content Notes:

We have permission from TRB to post this version in NTL.
Format:

PDF
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:fa41934dcf1f4e0f19780203f1dea7aabab373455e891dadff031fae954e9791
Download URL:

https://rosap.ntl.bts.gov/view/dot/35370/dot_35370_DS1.pdf
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Variations in Driver Behavior: An Analysis of Car-Following Behavior Heterogeneity as a Function of Road Type and Traffic Condition

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