7 resultados para crowd counting

em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States


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You want a job. And you believe that somewhere, some employer has precisely the job you want - one that fully utilizes your knowledge and abilities and provides challenge and opportunities for advancement. To find that job, you need to perform a well-planned job search. You have a product to sell - your knowledge, skills and experience . . . YOURSELF! What you need to know is how to market yourself most effectively. Whether you are just out of school and ready to start your career or looking for a new position after 20 years of experience, some of the techniques presented in this booklet may help you. NOTE: ENGLISH

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This project develops a smartphone-based prototype system that supplements the 511 system to improve its dynamic traffic routing service to state highway users under non-recurrent congestion. This system will save considerable time to provide crucial traffic information and en-route assistance to travelers for them to avoid being trapped in traffic congestion due to accidents, work zones, hazards, or special events. It also creates a feedback loop between travelers and responsible agencies that enable the state to effectively collect, fuse, and analyze crowd-sourced data for next-gen transportation planning and management. This project can result in substantial economic savings (e.g. less traffic congestion, reduced fuel wastage and emissions) and safety benefits for the freight industry and society due to better dissemination of real-time traffic information by highway users. Such benefits will increase significantly in future with the expected increase in freight traffic on the network. The proposed system also has the flexibility to be integrated with various transportation management modules to assist state agencies to improve transportation services and daily operations.

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A team representing Iowa Workforce Development, the Office of Energy Independence, the Department of Natural Resources, the Department of Public Safety, the Iowa Utilities Board, the Department of Economic Development and Iowa Community Colleges reviewed many reports on green jobs published by states, associations and private research companies with the purpose of determining whether the number of “green collar” jobs in Iowa’s economy can be quantified. The team found that there was no standard on definition, identifying jobs or occupations, or level of inclusion for counting green collar jobs. All reports were tailored to their own audiences, without regard to the ability to measure their results against findings made by other states or organizations. Green collar jobs can be found in construction, manufacturing, installation, maintenance, agriculture and many other sectors of the economy. While some of the green collar jobs are in new occupations and industries, most are existing jobs that demand new green collar skills.

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Highlights: * Over 150 participants attended a valuable career development seminar on January 26th titled “Rise Above the Crowd - Getting Hired in Today’s Economy.”..........................pg. 2 * Joanne McKeog sent a letter in December thanking the New Iowan Center for the services they provide..........................pg. 2 * Scott Shaw, an ex-offender, went to the Newton Workforce Center and tested for the Career Readiness Certificate..........................pg. 2 * Iowa’s Unemployment Insurance Tax program is getting a new online filing system, called My Iowa UI..........................pg. 3 * The Davenport Veteran’s Outreach Program Representative presented a $500 donation check to help the Humility of Mary Shelter in helping veterans..........................pg. 3

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Two goals were pursued in this research: first, to evaluate statistically some effects of sample preparation and instrument geometry on reproducibility of X-ray diffraction intensity data; and second, to develop a procedure for finding minimum peak and background counting times for a desired level of accuracy. The ratio of calcite to dolomite in limestones was determined in trials. Ultra-fine wet grinding of the limestone in porcelain impact type ball mill gave most consistent X-ray results, but caused considerable line broadening, and peaks were best measured on an area count basis. Sample spinning reduced variance about one third, and a coarse beam-medium detector slit arrangement was found to be best. An equation is developed relating coefficient of variation of a count ratio to peak and background counts. By use of the equation or graphs the minimum coefficient of variation is predicted from one fast scan, and the number and optimum arrangement of additional counting periods to reduce variation to a desired limit may be obtained. The calculated coefficient is the maximum which may be attributed to the counting statistic but does not include experimental deviations.

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Efforts to improve safety and traffic flow through merge areas on high volume/high speed roadways have included early merge and late merge concepts and several studies of the effectiveness of these concepts, many using Intelligent Transportation Systems for implementation. The Iowa Department of Transportation (Iowa DOT) planned to employ a system of dynamic message signs (DMS) to enhance standard temporary traffic control for lane closures and traffic merges at two bridge construction projects in western Iowa (Adair County and Cass County counties) on I-80 during the 2008 construction season. To evaluate the DMS system’s effectiveness for impacting driver merging actions, the Iowa DOT contracted with Iowa State University’s Center for Transportation Research and Education to perform the evaluation and make recommendations for future use of this system based on the results. Data were collected over four weekends, beginning August 1–4 and ending October 16–20, 2008. Two weekends yielded sufficient data for evaluation, one of transition traffic flow and the other with a period of congestion. For both of these periods, a statistical review of collected data did not indicate a significant impact on driver merging actions when the DMS messaging was activated as compared to free flow conditions with no messaging. Collection of relevant project data proved to be problematic for several reasons. In addition to personnel safety issues associated with the placement and retrieval of counting devices on a high speed roadway, unsatisfactory equipment performance and insufficient congestion to activate the DMS messaging hampered efforts. A review of the data that was collected revealed different results taken by the tube counters compared to the older model plate counters. Although variations were not significant from a practical standpoint, a statistical evaluation showed that the data, including volumes, speeds, and classifications from the two sources were not comparable at a 95% level of confidence. Comparison of data from the Iowa DOT’s automated traffic recorders (ATRs) in the area also suggested variations in results from these data collection systems. Additional comparison studies were recommended.

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The Center for Transportation Research and Education (CTRE) issued a report in July 2003, based on a sample study of the application of remote sensed image land use change detection to the methodology of traffic monitoring in Blackhawk County, Iowa. In summary, the results indicated a strong correlation and a statistically significant regression coefficient between the identification of built-up land use change areas from remote sensed data and corresponding changes in traffic patterns, expressed as vehicle miles traveled (VMT). Based on these results, the Iowa Department of Transportation (Iowa DOT) requested that CTRE expand the study area to five counties in the southwest quadrant of the state. These counties are scheduled for traffic counts in 2004, and the Iowa DOT desired the data to 1) evaluate the current methodology used to place the devices; 2) potentially influence the placement of traffic counting devices in areas of high built-up land use change; and 3) determine if opportunities exist to reduce the frequency and/or density of monitoring activity in lower trafficked rural areas of the state. This project is focused on the practical application of built-up land use change data for placement of traffic count data recording devices in five southwest Iowa counties.