870 resultados para traffic fuel
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.
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Pursuant to Iowa Code section 307.20, the biodiesel fuel revolving fund (Fund) was created and is to be used to purchase biodiesel fuel for use in the Department of Transportation’s vehicles. The act directed that the Fund receive money from the sale of EPAct credits banked by the DOT on the effective date of the act, moneys appropriated by the General Assembly, and any other monies obtained or accepted by the DOT for deposit in the Fund. This report is of the expenditures made from the Fund during FY 2014.
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Iowa Code section 452A.33(3) requires a report regarding flexible fuel vehicles registered in Iowa. The report includes the number of flexible fuel vehicles according to year of manufacture; the number of passenger vehicles according to year of manufacture; and the number of light pickup trucks according to the year of manufacture.
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Many states are striving to keep their deer population to a sustainable and controllable level while maximizing public safety. In Iowa, measures to control the deer population include annual deer hunts and special deer herd management plans in urban areas. While these plans may reduce the deer population, traffic safety in these areas has not been fully assessed. Using deer population data from the Iowa Department of Natural Resources and data on deer-vehicle crashes and deer carcass removals from the Iowa Department of Transportation, the authors examined the relationship between deer-vehicle collisions, deer density, and land use in three urban areas in Iowa that have deer management plans in place (Cedar Rapids, Dubuque, and Iowa City) over the period 2002 to 2007. First, a comparison of deer-vehicle crash counts and deer carcass removal counts was conducted at the county level. Further, the authors estimated econometric models to investigate the factors that influence the frequency and severity of deer-vehicle crashes in these zones. Overall, the number of deer carcasses removed on the primary roads in these counties was greater than the number of reported deervehicle crashes on those roads. These differences can be attributed to a number of reasons, including variability in data reporting and data collection practices. In addition, high rates of underreporting of crashes were found on major routes that carry high volumes of traffic. This study also showed that multiple factors affect deer-vehicle crashes and corresponding injury outcomes in urban management zones. The identified roadway and non-roadway factors could be useful for identifying locations on the transportation system that significantly impact deer species and safety and for determining appropriate countermeasures for mitigation. Efforts to reduce deer density adjacent to roads and developed land and to provide wider shoulders on undivided roads are recommended. Improving the consistency and accuracy of deer carcass and deer-vehicle collision data collection methods and practices is also desirable.
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Iowa’s traffic safety culture is influenced by laws and policies, enforcement methods, driver education, roadway engineering, and drivers’ behaviors. The Center for Social and Behavioral Research at the University of Northern Iowa was contracted by the Iowa Department of Transportation to conduct a general population survey of adult Iowans. Telephone interviews were conducted with 1,088 adult Iowans from October to December 2011. A dual-frame (cell phone and landline) sampling design was used. The interview covered a wide range of traffic safety topics (e.g., traffic safety policies, enforcement techniques, and distracted driving). Most Iowans said driving in Iowa is about as safe now as it was 5 years ago; however, one-fourth said driving in Iowa is less safe now. There are a number of driving-related behaviors many adult Iowans consider serious threats to traffic safety and never acceptable to do while driving. Yet, many Iowans report often seeing other drivers engaging in these behaviors and admit engaging in some themselves. For example, nearly 1 in 5 adult Iowa drivers said they have sent or read a text message or email while driving in the past 30 days despite this being prohibited since July of 2011. A slight majority said they support using cameras on highways, interstates, and city streets to automatically ticket drivers for speeding, with even stronger support for red light cameras. A comprehensive approach to traffic safety in Iowa is required to encourage protective factors that enhance traffic safety and reduce the impact of detrimental factors.
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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.