• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 5
  • 4
  • 1
  • Tagged with
  • 15
  • 15
  • 5
  • 5
  • 5
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Using Plasmas for High-Speed Flow Control and Combustion Control

Keshav, Saurabh 01 October 2008 (has links)
No description available.
12

Calibração da relação fluxo-velocidade para autoestradas e rodovias de pista dupla / Calibration of speed-flow relationship for freeways and multilane highways

Oliveira, Gabriel Jurado Martins de 20 July 2018 (has links)
Esta pesquisa apresenta um método de calibração da relação fluxo-velocidade do Highway Capacity Manual, HCM, para autoestradas e rodovias de pista dupla, a partir de recomendações tecidas pelos autores envolvidos na elaboração do manual. Para tanto, foi utilizado uma amostra com mais de 1.700.000 observações, coletadas por 34 sensores de tráfego, localizados em quatros rodovias do Estado de São Paulo: SP-280, SP-348, SP-270 e SP-021. O tratamento do banco de dados foi realizado por meio da filtragem dos dados originais através da aplicação de três critérios, que têm como finalidade remover observações consideradas inadequadas para a calibração do modelo. Os critérios baseiam-se em obter uma corrente de tráfego formada somente por veículos leves, com condições de operação normal e com observações referentes apenas ao regime de fluxo livre. A separação entre os regimes de fluxo livre e congestionado foi realizada por meio da densidade na capacidade. Para tanto, foi proposto um método de estimação da capacidade por meio da análise da variação da velocidade média da corrente em função do fluxo de tráfego. O pressuposto do método parte do conceito de que o colapso da corrente de tráfego é um fenômeno estocástico, caracterizado pela queda abrupta da velocidade média em função do aumento do fluxo de tráfego. O momento em que ocorre mudança abrupta de velocidade é associado ao colapso da corrente de tráfego e consequentemente à capacidade da via. Após a estimação da capacidade, a velocidade na capacidade foi determinada como a média das velocidades associadas ao fluxo na capacidade, enquanto que a densidade na capacidade foi obtida por meio da relação fundamental de tráfego. O método foi aplicado em um conjunto de 18 trechos de rodovias que atingem a capacidade e os resultados foram considerados satisfatórios após a comparação com valores encontrados na literatura. A calibração da relação fluxo-velocidade foi realizada individualmente para cada trecho de rodovia utilizado no estudo. A análise dos resultados mostra que as rodovias rurais apresentam em média valores maiores para velocidade de fluxo livre, capacidade, coeficiente de calibração, velocidade na capacidade e ponto de transição em relação as rodovias urbanas. Alem disso, o ponto de transição, que consiste em um patamar de velocidade de fluxo livre constante, apresenta valores significativamente menores em relação a literatura. / The following research aims to outline a calibration method of the speed-flow relationship presented in the Highway Capacity Manual (HCM). The method is applied on freeways and multilane highways, leveraging the guidelines made by the authors that developed the manual. In order to support the calibration, a sample with more than 1.700.000 observations was used, collected by 34 traffic sensors on four highways at São Paulo state (SP-280, SP-348, SP270, and SP-021). Furthermore, the data treatment and cleaning process aimed to remove observations considered inappropriate from a model calibration perspective by filtering the original data through three main criteria: traffic flow only composed by passenger car, traffic under normal operations condition, and only containing observations which free flow regime applies. The third filtering criteria was applied by splitting free flow and congested regime through the threshold of density at capacity. To this extent, a capacity estimation method was proposed, aiming to analyse the average speed variation in function of the traffic flow. The assumption of the method relies in the concept that the traffic flow breakdown is a stochastic process, characterized by the abrupt drop in the average speed as function of the traffic flow increase. The moment that abrupt drop occurs is related to traffic breakdown and, consequently, to the capacity freeway capacity. Once the capacity was estimated, the speed at capacity was defined as the average of the speed associated with the flow at capacity while the density at capacity was estimated through the fundamental relationship of the traffic flow. The method was applied in 18 delimited highway traffic perimeter that reached their corresponding capacity and the results were considered satisfactory after comparing against values found in the literature. Furthermore, the speed-flow relationships calibration was performed for each of them individually. The results show that rural highways have in average higher free flow speed, capacity, calibration coefficient, speed at capacity and breakpoint than urban highways. Moreover, the breakpoint, which consists a constant free flow speed level, presented significant lower values in comparison to the literature.
13

Calibração da relação fluxo-velocidade para autoestradas e rodovias de pista dupla / Calibration of speed-flow relationship for freeways and multilane highways

Gabriel Jurado Martins de Oliveira 20 July 2018 (has links)
Esta pesquisa apresenta um método de calibração da relação fluxo-velocidade do Highway Capacity Manual, HCM, para autoestradas e rodovias de pista dupla, a partir de recomendações tecidas pelos autores envolvidos na elaboração do manual. Para tanto, foi utilizado uma amostra com mais de 1.700.000 observações, coletadas por 34 sensores de tráfego, localizados em quatros rodovias do Estado de São Paulo: SP-280, SP-348, SP-270 e SP-021. O tratamento do banco de dados foi realizado por meio da filtragem dos dados originais através da aplicação de três critérios, que têm como finalidade remover observações consideradas inadequadas para a calibração do modelo. Os critérios baseiam-se em obter uma corrente de tráfego formada somente por veículos leves, com condições de operação normal e com observações referentes apenas ao regime de fluxo livre. A separação entre os regimes de fluxo livre e congestionado foi realizada por meio da densidade na capacidade. Para tanto, foi proposto um método de estimação da capacidade por meio da análise da variação da velocidade média da corrente em função do fluxo de tráfego. O pressuposto do método parte do conceito de que o colapso da corrente de tráfego é um fenômeno estocástico, caracterizado pela queda abrupta da velocidade média em função do aumento do fluxo de tráfego. O momento em que ocorre mudança abrupta de velocidade é associado ao colapso da corrente de tráfego e consequentemente à capacidade da via. Após a estimação da capacidade, a velocidade na capacidade foi determinada como a média das velocidades associadas ao fluxo na capacidade, enquanto que a densidade na capacidade foi obtida por meio da relação fundamental de tráfego. O método foi aplicado em um conjunto de 18 trechos de rodovias que atingem a capacidade e os resultados foram considerados satisfatórios após a comparação com valores encontrados na literatura. A calibração da relação fluxo-velocidade foi realizada individualmente para cada trecho de rodovia utilizado no estudo. A análise dos resultados mostra que as rodovias rurais apresentam em média valores maiores para velocidade de fluxo livre, capacidade, coeficiente de calibração, velocidade na capacidade e ponto de transição em relação as rodovias urbanas. Alem disso, o ponto de transição, que consiste em um patamar de velocidade de fluxo livre constante, apresenta valores significativamente menores em relação a literatura. / The following research aims to outline a calibration method of the speed-flow relationship presented in the Highway Capacity Manual (HCM). The method is applied on freeways and multilane highways, leveraging the guidelines made by the authors that developed the manual. In order to support the calibration, a sample with more than 1.700.000 observations was used, collected by 34 traffic sensors on four highways at São Paulo state (SP-280, SP-348, SP270, and SP-021). Furthermore, the data treatment and cleaning process aimed to remove observations considered inappropriate from a model calibration perspective by filtering the original data through three main criteria: traffic flow only composed by passenger car, traffic under normal operations condition, and only containing observations which free flow regime applies. The third filtering criteria was applied by splitting free flow and congested regime through the threshold of density at capacity. To this extent, a capacity estimation method was proposed, aiming to analyse the average speed variation in function of the traffic flow. The assumption of the method relies in the concept that the traffic flow breakdown is a stochastic process, characterized by the abrupt drop in the average speed as function of the traffic flow increase. The moment that abrupt drop occurs is related to traffic breakdown and, consequently, to the capacity freeway capacity. Once the capacity was estimated, the speed at capacity was defined as the average of the speed associated with the flow at capacity while the density at capacity was estimated through the fundamental relationship of the traffic flow. The method was applied in 18 delimited highway traffic perimeter that reached their corresponding capacity and the results were considered satisfactory after comparing against values found in the literature. Furthermore, the speed-flow relationships calibration was performed for each of them individually. The results show that rural highways have in average higher free flow speed, capacity, calibration coefficient, speed at capacity and breakpoint than urban highways. Moreover, the breakpoint, which consists a constant free flow speed level, presented significant lower values in comparison to the literature.
14

Model Reduction of Computational Aerothermodynamics for Multi-Discipline Analysis in High Speed Flows

Crowell, Andrew R. 08 August 2013 (has links)
No description available.
15

Establishing and applying speed-flow relationships for traffic on rural two-lane two- way highways in the Western Cape

Twagirimana, Janvier 12 1900 (has links)
Thesis (MScEng)-- Stellenbosch University, 2013. / ENGLISH ABSTRACT: Speed-flow-density relationships are the most useful tools in the highway design and planning process. They are useful in predicting the roadway capacity, in determining the adequate level-of-service of traffic flow and in determining travel time for a given roadway. Two-lane two-way rural highways constitute the vast majority of the rural road network in South Africa. Nowadays in the Western Cape and other provinces of South Africa, the speed-flow-density relationships normally used for rural transportation studies are derived from the Highway Capacity Manual, which reflects the traffic conditions in the North American situation. Since the North American traffic conditions may be different from the South African conditions, a need to investigate speed-flow-density relationships on these highways in South Africa arises in order to justify any investment made on these roads. In this context, a video technique was used to collect traffic flow data during morning peak hours on two rural two-lane two-way highways in the Western Cape Province in order to investigate these relationships. Through the use of Adobe premiere C.S 6 software, travel time of individual vehicles and distance headways were measured and used in computation of average speed and average density. Several researchers have developed models to describe the relationships between traffic characteristics on uninterrupted flow facilities. In this study, some of these models were tested using collected data in order to investigate which model fits the data satisfactorily. Statistical methods were used to evaluate the ability of each model to predict the flow characteristics over the whole range of data. Average speed and density data were used through regression analysis to perform curve fitting and testing of these developed models. In the next stage, the model which provided a best representation of the data on each section was selected and through the application of the steady-state equation (2.1), flow-density and speed-flow relationships were established on these sections. The available data were also used to investigate the impact the observation time has on the speed-flow curve and the resulting capacity value. Finally, the developed speed-flow curves were used to determine the capacities of the study sections. These capacity values were used to determine if the shoulder usage contributes in increasing the capacity of two-lane two-way highways by comparing them to the capacity provided by HCM. / AFRIKAANSE OPSOMMING: Spoed-vloei-digtheid verhoudings is baie handig in die beplanning en ontwerp van paaie. Dit kan ook gebruik word in die voorspelling van kapasiteit, diensvlak en reistyd. Twee-laan twee-rigting paaie maak die grootste deel van die Suid-Afrikaanse padnetwerk uit en vir die beplanning daarvan word van Amerikaanse spoed-vloei-digtheid verhoudings gebruik gemaak aangesien daar nog nie voorheen ‘n studie hiervan in SA gemaak is nie. Video-opnames is gebruik om verkeersvloeidata op twee paaie in die omgewing van Stellenbosch te versamel. Die reistyd en digtheid van individuele voertuie is tydens spitstye waargeneem. Die data is gebruik om te bepaal watter modelle die beste is om die spoed-vloei-digtheid verhoudings vir hierdie paaie te modelleer. Die beste modelle is dan gebruik om die kapasiteit van die paaie te bepaal en dit te vergelyk met die Amerikaanse waardes.

Page generated in 0.0265 seconds