Relationship Between Pavement Macrotexture and Crash Incidence on North Carolina Roads


Book Description

A recent study in Australia has shown that there is a relation between low pavement macrotexture and crash incidences on highways. However, literature documents no such research in the United States. This study focuses on evaluating the role of pavement macrotexture in crashes on selected roads in the state of North Carolina (NC). Pavement macrotexture refers to variations in the road surface in the range 0.02" (0.5 mm) to approximately 2" (50 mm). Laser profilometer data obtained from the NC Department of Transportation (NCDOT) is processed to calculate estimated pavement macrotexture at one-sixteenth of a mile interval according to the ASTM standards. Crash data collected over the same lengths of the corridors were integrated with the calculated pavement macrotexture. Scatter plots, bivariate analysis and multivariate analysis showed that a strong relationship exists between pavement macrotexture and crash incidences on NC roads. Analyses and evaluation indicate that crashes decrease with increase in pavement macrotexture on NC roads. Pavement macrotexture greater than or equal to 0.06" (but typically less than 0.12") would be most appropriate to provide safe and efficient transportation to road users.













Materials


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Masters Theses in the Pure and Applied Sciences


Book Description

Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 38 (thesis year 1993) a total of 13,787 thesis titles from 22 Canadian and 164 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 38 reports theses submitted in 1993, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.







Geocomputation and Urban Planning


Book Description

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.







HRIS Abstracts


Book Description