About: Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2015 (fr) наукова стаття, опублікована в березні 2015 (uk) im März 2015 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57438228-3BCDE519-6963-4D3B-9A83-71E09139EE75
publication date	2015-03-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q57438228-236AFF18-2354-4B25-883C-6F69AC132299 wds:Q57438228-249C732B-C5ED-4994-8E7A-863FB4CCE48B wds:Q57438228-4126F8A4-D13A-47F4-AE81-E561D1313A30 wds:Q57438228-4DAB65DA-E69B-42AC-B0C1-CB737C5CEC0B wds:Q57438228-516C9D64-A29E-4C3D-A408-09F48EE3C318 wds:Q57438228-BC298CBB-03EE-4F9C-AF56-1A8CF8CAE787 wds:Q57438228-BDEEBF80-808A-4C67-B88F-DED2959F16EC wds:Q57438228-C80541DB-BB4B-4808-9BDC-0790B4621CBD wds:Q57438228-DC3CD356-996A-4AF3-ADFD-45E94CEF6705
cites work	Dynamic programming algorithm optimization for spoken word recognition A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic. Heterogeneity in car-following behavior: Theory and empirics Validity of Trajectory-Based Calibration Approach of Car-Following Models in Presence of Measurement Errors A simplified theory of kinematic waves in highway traffic, part I: General theory Analyzing fluctuations in car-following Wiedemann Revisited Reliability of Parameter Values Estimated Using Trajectory Observations A Markov Model for Headway/Spacing Distribution of Road Traffic
author name string	wds:Q57438228-15FA7A3B-FC76-443D-8820-666D35661DAC wds:Q57438228-3B585997-AFF5-4CB7-A260-CDC86218DBBF wds:Q57438228-B5C7EBBC-AAE2-4D60-A1E4-012A570EFA4D
author name string	Richard J. Porter Jeffrey Taylor Xuesong Zhou
rdfs:label	Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (en) Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (nl)
skos:prefLabel	Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (en) Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (nl)
name	Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (en) Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (nl)
author	wds:Q57438228-52C617FA-74D5-4D34-8233-FC9850F4FC14
author	Nagui M Rouphail
title	wds:Q57438228-4E257E56-2429-4228-9DE4-3772C9436E37
title	Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach (en)
page(s)	wds:Q57438228-97E7EA00-0387-4457-A776-A30EB22B0539
page(s)	59-80
instance of	wds:Q57438228-1CCEBCFC-DCFB-48AE-B12C-EC8C25C4CED6
instance of	scholarly article
main subject	wds:Q57438228-496EFB8F-F108-4BF2-9805-2CCF4BEAA708 wds:Q57438228-CAD61923-5643-4D21-BF44-97B8BEF70936
main subject	dynamic time warping heterogeneity
published in	wds:Q57438228-E0FC9CEF-35A2-4D3B-9302-92B595727091
published in	Transportation Research Part B: Methodological
volume	wds:Q57438228-478BE07E-7C58-47DE-8E08-FB1A176DBAF0
volume	73
DOI	wds:Q57438228-C064B220-1403-424B-9B45-BCAACCD21FB6
DOI	http://dx.doi.org/10.1016/J.TRB.2014.12.009
DOI	10.1016/J.TRB.2014.12.009
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57438228
is cites work of	Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies Univariate and multivariate time series classification with parametric integral dynamic time warping
is cites work of	wds:Q57437362-4E2AEA06-0810-4932-BA0C-D857E4AAFB13 wds:Q59163009-30522AE5-1D5A-4DE7-A3C9-C1D3066E8A7D

Faceted Search & Find service v1.16.117 as of May 05 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of May 5 2024, on Linux (x86_64-centos_6-linux-gnu), Single-Server Edition (378 GB total memory, 196 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software