A Data-Driven Comparison of Car-Following Behaviors of Autonomous and Human-Driven Vehicles and Their Traffic Flow Impacts Under Naturalistic Traffic Conditions [brochure]

doi:10.21949/z9f1-m111

i

A Data-Driven Comparison of Car-Following Behaviors of Autonomous and Human-Driven Vehicles and Their Traffic Flow Impacts Under Naturalistic Traffic Conditions [brochure]

2026-01-01
By United States. Department of Transportation. Federal Highway Administration

File Language:

English

Details

Corporate Creators:

United States. Department of Transportation. Federal Highway Administration
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
Subject/TRT Terms:

Automatic Data Collection Systems Autonomous Vehicles Car Following Traffic Flow
Publication/ Report Number:

FHWA-HRT-26-036
DOI:

https://doi.org/10.21949/z9f1-m111
Resource Type:

Booklet/Pamphlet
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Abstract:

Microscopic simulation is a valuable tool for traffic system analysis and design. Car-following models’ characteristics and parametric distributions dictate safety and mobility performance of traffic streams.
Format:

PDF
Funding:

693JJ324C000004
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:bc61e6c1fd08c3b460cac1a9f62a68f5d3e69aec8c35fb017a42c723236050f6c0f08f49554a4bb47292d623dbdcaf4e2fb299eec7ac11e1e0f981f152d0e827
Download URL:

https://rosap.ntl.bts.gov/view/dot/88974/dot_88974_DS1.pdf
File Type:

[PDF - 415.89 KB ]

File Language:

English

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Details

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