FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W589033307> ?p ?o ?g. }

• W589033307 abstract "Historically, Road Weather Information Systems (RWIS), their many associated atmospheric sensors, road pavement condition sensors, and the data they provide have been an integral part of the Road Weather Maintenance and Decision Support Systems that many of the world’s nations and nearly all of the U.S. States use in their winter maintenance efforts. This data has proven to be an effective tool for maintaining a safe surface transportation system while improving mobility and mitigating the environmental impacts of the chemicals used in these efforts - all while significantly reducing operational costs. The returns on investment in this technology have been proven and illustrated in many value added propositions throughout the world. During the Transportation Research Board (TRB) conference held in Washington D.C. on January 23-27 2010, there were over 15 studies from universities throughout the U.S. that provided significant conclusions on the impact of weather on traffic. Many of these studies, however, were based on simple atmospheric conditions like precipitation and visibility; they used broad guidelines to define “bad weather” or “good weather.” However, one study conducted by the University of Wisconsin concluded that, the pavement surface temperature, not often investigated by existing studies, has significant impacts on urban freeway traffic flow. Every study that included correlation of weather events and the effect on traffic concluded that weather had substantial impact on either traffic safety or efficiency. The next step is to capitalize on this research and develop applications and even fine tune existing systems in ways that could potentially reduce the effect weather has on traffic. This paper brings technical light and an innovative approach to a specific application that can utilize the existing infrastructure of RWIS data and Adaptive Traffic Signal Control (ATSC) to create more efficient signal phasing and safer intersection conditions during inclement weather. It defines in general adaptive signal control applications and current atmospheric and pavement condition data assets. The paper then presents ideas on how to combine those two to create system applications that adapt to current traffic conditions and the associated changes in driver behavior, with the goal of creating safer, more efficient weather based adaptive signal phasing systems. For example, if a sensor senses that the friction coefficient of the pavement at an intersection is significantly reduced so that the stopping distance of a vehicle is increased by 50%, the signal controller can take that data and modify the signal timing to increase yellow lights or increase the delay between red and green light phasing. This will allow vehicles more time to clear the intersection, reducing collisions caused by vehicles unable to stop in their normal time because of reduced friction. This is just one example of the many applications that could be developed by integrating these two existing intelligent transportation system (ITS) systems. The paper concludes that by utilizing existing ITS infrastructure to develop new advanced applications without significant increase in costs, we can increase the return on investment and effectiveness of Intelligent Transportation Systems. It also demonstrates that by developing systems that have multiple applications we can increase the resolution of data derived from these systems, thus increasing the overall effectiveness of ITS throughout the world." @default.
• W589033307 created "2016-06-24" @default.
• W589033307 creator A5064404490 @default.
• W589033307 date "2011-01-01" @default.
• W589033307 modified "2023-09-24" @default.
• W589033307 title "Advanced Adaptive Signal Control" @default.
• W589033307 hasPublicationYear "2011" @default.
• W589033307 type Work @default.
• W589033307 sameAs 589033307 @default.
• W589033307 citedByCount "0" @default.
• W589033307 crossrefType "journal-article" @default.
• W589033307 hasAuthorship W589033307A5064404490 @default.
• W589033307 hasConcept C123403432 @default.
• W589033307 hasConcept C127413603 @default.
• W589033307 hasConcept C153294291 @default.
• W589033307 hasConcept C154945302 @default.
• W589033307 hasConcept C17744445 @default.
• W589033307 hasConcept C199539241 @default.
• W589033307 hasConcept C205649164 @default.
• W589033307 hasConcept C207512268 @default.
• W589033307 hasConcept C22212356 @default.
• W589033307 hasConcept C27548731 @default.
• W589033307 hasConcept C2775924081 @default.
• W589033307 hasConcept C38652104 @default.
• W589033307 hasConcept C39432304 @default.
• W589033307 hasConcept C41008148 @default.
• W589033307 hasConcept C94625758 @default.
• W589033307 hasConceptScore W589033307C123403432 @default.
• W589033307 hasConceptScore W589033307C127413603 @default.
• W589033307 hasConceptScore W589033307C153294291 @default.
• W589033307 hasConceptScore W589033307C154945302 @default.
• W589033307 hasConceptScore W589033307C17744445 @default.
• W589033307 hasConceptScore W589033307C199539241 @default.
• W589033307 hasConceptScore W589033307C205649164 @default.
• W589033307 hasConceptScore W589033307C207512268 @default.
• W589033307 hasConceptScore W589033307C22212356 @default.
• W589033307 hasConceptScore W589033307C27548731 @default.
• W589033307 hasConceptScore W589033307C2775924081 @default.
• W589033307 hasConceptScore W589033307C38652104 @default.
• W589033307 hasConceptScore W589033307C39432304 @default.
• W589033307 hasConceptScore W589033307C41008148 @default.
• W589033307 hasConceptScore W589033307C94625758 @default.
• W589033307 hasLocation W5890333071 @default.
• W589033307 hasOpenAccess W589033307 @default.
• W589033307 hasPrimaryLocation W5890333071 @default.
• W589033307 hasRelatedWork W1605740314 @default.
• W589033307 hasRelatedWork W2013892818 @default.
• W589033307 hasRelatedWork W2028627156 @default.
• W589033307 hasRelatedWork W2052121647 @default.
• W589033307 hasRelatedWork W2099801425 @default.
• W589033307 hasRelatedWork W2135831340 @default.
• W589033307 hasRelatedWork W2142405566 @default.
• W589033307 hasRelatedWork W2163789142 @default.
• W589033307 hasRelatedWork W222706400 @default.
• W589033307 hasRelatedWork W2288030886 @default.
• W589033307 hasRelatedWork W3160000705 @default.
• W589033307 hasRelatedWork W3171164891 @default.
• W589033307 hasRelatedWork W590302640 @default.
• W589033307 hasRelatedWork W617571400 @default.
• W589033307 hasRelatedWork W638622615 @default.
• W589033307 hasRelatedWork W746103611 @default.
• W589033307 hasRelatedWork W805858515 @default.
• W589033307 hasRelatedWork W834109701 @default.
• W589033307 hasRelatedWork W3157463139 @default.
• W589033307 hasRelatedWork W317259433 @default.
• W589033307 isParatext "false" @default.
• W589033307 isRetracted "false" @default.
• W589033307 magId "589033307" @default.
• W589033307 workType "article" @default.