2,246,605 research outputs found
Oregon traffic safety performance plan. Annual report
No full textThis archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Fiscal year 1998-Vols. for 2000- also called: Annual evaluationFiscal year ends Sept. 30Mode of access: Internet from the Oregon Government Publications Collection.Comprises federally-required year-end report; complements annual planning document: Oregon traffic safety performance pla
Independence-Monmouth Traffic Safety Management Program (TSMP)
No full textCover letter title: Independence-Monmouth Traffic Safety Management Program (TSMP).At head of title: Preliminary."July 1981.""OTSC Project #81-02-5-609."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Traffic control signal design manual
No full textTitle from PDF cover (DOT web site, viewed Dec. 3, 2009).; Previously published: Manual of traffic control signal design. [Wethersfield, Conn] : Dept. of Transportation, Bureau of Highways, Office of Engineering, Division of Traffic, [1984].; Includes bibliographical references
Nautical traffic simulation with multi-agent system
No full textThis paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships. Especially, we look at the behaviors for collision avoidance in different encountering situations with different local environmental conditions. The behavior of the ships is simulated with a dynamic ship maneuvering model, taking into account the movements in different local circumstances. And we utilize AIS data for input in simulation, model validation, and model verification. Moreover, we use the ODD (Overview, Design concepts, Details) protocol as a framework for the detailed description of the model.Hydraulic EngineeringCivil Engineering and Geoscience
Controlled Traffic Farming
No full textMetadata only recordControlled Traffic Farming (CTF) is a farming method used to reduce soil compaction, decrease inputs, and improve soil structure when coupled with reduced-till or no-till practices. This practices utilizes permanent traffic/wheel zones to limit soil compaction to a specific area. This website provides practical information on CTF, case studies, workshops, and links to additional resources
michigan-traffic-lab/osaas-public
No full text<p>Please check out <a href="../doi/10.5281/zenodo.10493793">the up-to-date version</a> or go to <a href="https://github.com/michigan-traffic-lab/osaas-public">https://github.com/michigan-traffic-lab/osaas-public</a> for more details.</p>
michigan-traffic-lab/osaas-public: v1.1.0
No full text<p>Please go to <a href="https://github.com/michigan-traffic-lab/osaas-public">https://github.com/michigan-traffic-lab/osaas-public</a> for more details.</p>
Evaluation of Community-Oriented Enforcement Demonstration Projects [Traffic Tech]
No full textThis edition of Traffic Tech briefly summarizes a project evaluating effectiveness of two law enforcement agencies\u2019 use of a data-driven approaches to traffic enforcement supported by community-oriented policing to improve traffic safety and increase community support for traffic law enforcement. They focused on improving seat belt use and reducing alcohol-impaired driving. Community-oriented enforcement in these demonstrations was not effective at building support or increasing the perceived risk of enforcement
The effect of social desirability on self reported and recorded road traffic accidents
Get PDFThe use of lie scales has a fairly long history in psychometrics, with the
intention of identifying and correcting for socially desirable answers. This
represents one type of common method variance (bias introduced when both
predictors and predicted variables are gathered from the same source), which may
lead to spurious associations in self-reports. Within traffic safety research,
where self-report methods are used abundantly, it is uncommon to control for
social desirability artifacts, or reporting associations between lie scales,
crashes and driver behaviour scales. In the present study, it was shown that
self-reports of traffic accidents were negatively associated with a lie scale
for driving, while recorded ones were not, as could be expected if the scale was
valid and a self-report bias existed. We conclude that whenever self-reported
crashes are used as an outcome variable and predicted by other self-report
measures, a lie scale should be included and used for correcting the
associations. However, the only existing lie scale for traffic safety is not
likely to catch all socially desirable responding, because traffic safety may
not be desirable for all demographic groups. New lie scales should be developed
specifically for driver behaviour questionnaires, to counter potential bias and
artifactual results. Alternatively, the use of a single source of data should be
discontinued. (C) 2009 Elsevier Ltd. All rights reserved
Agent Based Traffic Signals Regulating Flow On a Basic Grid
No full textA simulation study on traffic light optimisation with agent-based behaviour of the traffic signals
- …
