Mitigating Wind Induced Truck Crashes

Dangerous weather and high wind in particular, is a common contributing factor in truck crashes. High wind speeds have been documented as a perennial cause of truck crashes in Kansas and other Great Plains states. The possibility of reducing such crashes, combined with the installation of dynamic message signs along Interstate 70, created an opportunity for further research. To this end, crash data were obtained from the Kansas Department of Transportation’s Accident Records System for all heavy vehicle crashes on I-70 that involved strong winds. The data were analyzed to determine the correlations between the vehicle and freight characteristics, crash occurrences and weather conditions. The goal of this analysis was to construct a model that could predict the likelihood of such wind-induced truck crashes. Ideally, this model could furnish officials with a framework for preempting such crashes by imposing highway usage restrictions; thereby increasing safety for both truck drivers and the traveling public. After regressing the data into a model, however, it was found that wind speed was not a statistically significant factor in predicting such crashes. This finding agrees with some of the other literature on the subject and can be attributed to drivers altering their behavior as wind speeds change. From this research, we identified a dilemma zone of wind speeds in which drivers may not be making such a behavioral change. Furthermore, specific corridors in Kansas are identified as potential areas for the implementation of a warning system. It is recommended that Dynamic Message Signs be tied to weather data stations and/or lighted wind socks be installed on selected overpass bridges

Modeling Truck Speed in the Upstream of One-lane Two-way Highway Work Zones: Implications on Reducing Truck-Related Crashes in Work Zones

Truck-related crashes constitute a major safety concern for government agencies, the construction industry, and the traveling public. Due to the rising needs in highway maintenance and construction, the number of work zones is increasing throughout the United States, while at the same time freight movement using trucks is also increasing nationwide. Developing effective safety countermeasures to reduce the truck-related crashes is a major challenge in front of the government agencies and the construction industry. The main objectives of this research project are to discover truck-related crash characteristics and to model the truck speeds in the upstream of one-lane two-way rural highway work zones. Work zones on two-lane highway are particularly hazardous for trucks due to the disruption of regular traffic flow and restrictive geometry. The developed models can be utilized to discover possible associations between work zone design variables and truck speeds with the purpose of reducing truck-related crash risks. As a result, government agencies and the construction industry can apply the findings of this project to improve work zone design and mitigate the crash risks in work zones

Developing a Sustainable Freight Transportation Framework with the Consideration of Improving Safety and Minimizing Carbon Emissions

Despite the difficulties of the American economy in recent years the transportation sector continues to expand. Freight transportation alone has been projected to increase enormously even if the economy as a whole only manages a very moderate growth. Not only does freight transportation use a large percentage of resources but it contributes significantly to America’s share of carbon emissions and affects the safety of the transportation system and all its users. These problems are only expected to increase as the volume of freight transportation is already reaching the limit of the American transportation infrastructure’s capacity and demand continues to increase. The primary objective of this research was to compile a list of technologies and practices that should be included in the sustainable freight transportation frameworks of government agencies and commercial fleets to reduce their carbon footprint and increase their safety by providing recommendations on promising legislation, research, technologies, and practices. Data was gathered through a literature review of available materials and a survey of the state Departments of Transportation. The success of this research project provides the needed knowledge for the development of a sustainable freight transportation framework

Estimating Highway Pavement Damage Costs Attributed to Truck Traffic

Kansas is one of the leaders in meat production in the United States. In the southwest Kansas region, there are more than three hundred feed yards and several of the biggest meat processing plants in the nation. Heavy trucks (e.g., tractor-trailers) have been used primarily for transporting processed meat, meat byproducts, grain, and other related products. With the continuous growth of these industries, there will be more trucks on highways transporting meat and meat-related products in southwest Kansas. These trucks cause noteworthy damage to Kansas highway pavements, which in turn leads to more frequent maintenance actions and ultimately more traffic delays and congestion. The primary objective of this research was to estimate the highway damage costs attributed to the truck traffic associated with the processed meat (beef) and related industries in southwest Kansas. The researchers developed a systematic pavement damage estimation procedure that synthesized several existing methodologies including Highway Economic Requirements System (HERS) and American Association of State Highway and Transportation Officials (AASHTO) methods. In this research project, the highway section of US 50/400 between Dodge City and Garden City in Kansas was selected and its pavement data were collected for analysis. Outcomes of this research will be beneficial for the selection of cost-effective transportation modes for the meat processing and related industries in southwest Kansas. It will also help government agents to assess highway maintenance needs and to set up maintenance priorities. Meanwhile, the analysis results will be valuable for the determination of reasonable user costs. Based on findings of this research, recommendations on the selection of transportation modes are provided and promising future research tasks are suggested as well. PowerPoint presentation attached below as Related File. Link to Webinar video: http://vimeo.com/3739719

Estimating Highway Pavement Damage Costs Attributed to Truck Traffic

Kansas is one of the leaders in meat production in the United States. In the southwest Kansas region, there are more than three hundred feed yards and several of the biggest meat processing plants in the nation. Heavy trucks (e.g., tractor-trailers) have been used primarily for transporting processed meat, meat byproducts, grain, and other related products. With the continuous growth of these industries, there will be more trucks on highways transporting meat and meat-related products in southwest Kansas. These trucks cause noteworthy damage to Kansas highway pavements, which in turn leads to more frequent maintenance actions and ultimately more traffic delays and congestion. The primary objective of this research was to estimate the highway damage costs attributed to the truck traffic associated with the processed meat (beef) and related industries in southwest Kansas. The researchers developed a systematic pavement damage estimation procedure that synthesized several existing methodologies including Highway Economic Requirements System (HERS) and American Association of State Highway and Transportation Officials (AASHTO) methods. In this research project, the highway section of US 50/400 between Dodge City and Garden City in Kansas was selected and its pavement data were collected for analysis. Outcomes of this research will be beneficial for the selection of cost-effective transportation modes for the meat processing and related industries in southwest Kansas. It will also help government agents to assess highway maintenance needs and to set up maintenance priorities. Meanwhile, the analysis results will be valuable for the determination of reasonable user costs. Based on findings of this research, recommendations on the selection of transportation modes are provided and promising future research tasks are suggested as well

Estimating Highway Pavement Damage Costs Attributed to Truck Traffic

Kansas is one of the leaders in meat production in the United States. In the southwest Kansas region, there are more than three hundred feed yards and several of the biggest meat processing plants in the nation. Heavy trucks (e.g., tractor-trailers) have been used primarily for transporting processed meat, meat byproducts, grain, and other related products. With the continuous growth of these industries, there will be more trucks on highways transporting meat and meat-related products in southwest Kansas. These trucks cause noteworthy damage to Kansas highway pavements, which in turn leads to more frequent maintenance actions and ultimately more traffic delays and congestion. The primary objective of this research was to estimate the highway damage costs attributed to the truck traffic associated with the processed meat (beef) and related industries in southwest Kansas. The researchers developed a systematic pavement damage estimation procedure that synthesized several existing methodologies including Highway Economic Requirements System (HERS) and American Association of State Highway and Transportation Officials (AASHTO) methods. In this research project, the highway section of US 50/400 between Dodge City and Garden City in Kansas was selected and its pavement data were collected for analysis. Outcomes of this research will be beneficial for the selection of cost-effective transportation modes for the meat processing and related industries in southwest Kansas. It will also help government agents to assess highway maintenance needs and to set up maintenance priorities. Meanwhile, the analysis results will be valuable for the determination of reasonable user costs. Based on findings of this research, recommendations on the selection of transportation modes are provided and promising future research tasks are suggested as well. PowerPoint presentation attached below as Related File. Link to Webinar video: http://vimeo.com/3739719

Transportation Logistics and Economics of the Processed Meat and Related Industries in Southwest Kansas

Kansas is one of the nation’s leaders in meat production. Specifically, in the southwest Kansas region, there are more than three hundred feed yards and four meat processing plants. Traditionally, processed meat, some of the meat byproducts, grain, and other industry-related products are transported using large trucks (tractor-trailers). In addition to the highway system, there are two Class I railroad carriers and four Class III railroad carriers in the southwest Kansas region. Because there is a rich railroad network in the southwest Kansas region, it is necessary to study whether there is a need to utilize other transportation modes, such as railroad and intermodal, to transport goods and products for the processed meat and related industries. The objectives of this research are to study the transportation modes, their utilizations for the processed meat and related industries in southwest Kansas, and their impacts on local economic development. To achieve the objectives, the research team conducted a literature review, collected data through site visits, interviews, and web-sites, estimated vehicle miles of travel (VMT) by truck using TransCAD software, and projected future growth of processed meat and related industries as well as emerging industry development in the region. The research results demonstrate that there is heavy usage of trucks in the southwest Kansas region which need to be diversified to other transportation modes such as railroad and intermodal. To utilize railroad and intermodal transportation for the processed meat and related industries, there is a need to build required infrastructure near or within the feed yards and meat processing plants to support these transportation modes. In addition, to use the railroad for transporting feed grains, the system infrastructure of short line railroads needs to be improved. During this project, the research team also found that two new industries, dairy and ethanol, are emerging in southwest Kansas. With the development of new businesses, the demand on railroad service (both Class I and Class III) has been increasing recently. Thus, it is important to have adequate investment in railroad infrastructure, particularly, to keep short line railroads running rather than being abandoned

Mitigating Wind Induced Truck Crashes

Dangerous weather and high wind in particular, is a common contributing factor in truck crashes. High wind speeds have been documented as a perennial cause of truck crashes in Kansas and other Great Plains states. The possibility of reducing such crashes, combined with the installation of dynamic message signs along Interstate 70, created an opportunity for further research. To this end, crash data were obtained from the Kansas Department of Transportation’s Accident Records System for all heavy vehicle crashes on I-70 that involved strong winds. The data were analyzed to determine the correlations between the vehicle and freight characteristics, crash occurrences and weather conditions. The goal of this analysis was to construct a model that could predict the likelihood of such wind-induced truck crashes. Ideally, this model could furnish officials with a framework for preempting such crashes by imposing highway usage restrictions; thereby increasing safety for both truck drivers and the traveling public. After regressing the data into a model, however, it was found that wind speed was not a statistically significant factor in predicting such crashes. This finding agrees with some of the other literature on the subject and can be attributed to drivers altering their behavior as wind speeds change. From this research, we identified a dilemma zone of wind speeds in which drivers may not be making such a behavioral change. Furthermore, specific corridors in Kansas are identified as potential areas for the implementation of a warning system. It is recommended that Dynamic Message Signs be tied to weather data stations and/or lighted wind socks be installed on selected overpass bridges

Developing a Sustainable Freight Transportation Framework with the Consideration of Improving Safety and Minimizing Carbon Emissions

Despite the difficulties of the American economy in recent years the transportation sector continues to expand. Freight transportation alone has been projected to increase enormously even if the economy as a whole only manages a very moderate growth. Not only does freight transportation use a large percentage of resources but it contributes significantly to America’s share of carbon emissions and affects the safety of the transportation system and all its users. These problems are only expected to increase as the volume of freight transportation is already reaching the limit of the American transportation infrastructure’s capacity and demand continues to increase. The primary objective of this research was to compile a list of technologies and practices that should be included in the sustainable freight transportation frameworks of government agencies and commercial fleets to reduce their carbon footprint and increase their safety by providing recommendations on promising legislation, research, technologies, and practices. Data was gathered through a literature review of available materials and a survey of the state Departments of Transportation. The success of this research project provides the needed knowledge for the development of a sustainable freight transportation framework