453 resultados para Reliance Motor Truck Company
Resumo:
the Iowa Department of Transportation and the offices of Motor Vehicle Enforcement, Motor Carrier Services, Vehicle Services, and Drivers Services want to make your travels into and through our state safer, legal and less complicated. This book will address and clarify many of the rules and regulations concerning the operation of commercial vehicles in the state of Iowa. However, it is not possible to include every rule and regulation that may apply. If any questions exist, the reader is encouraged to contact other sources, including the agencies listed on page 4 and 5 of this book.
Resumo:
the Iowa Department of Transportation and the offices of Motor Vehicle Enforcement, Motor Carrier Services, Vehicle Services, and Drivers Services want to make your travels into and through our state safer, legal and less complicated. This book will address and clarify many of the rules and regulations concerning the operation of commercial vehicles in the state of Iowa. However, it is not possible to include every rule and regulation that may apply. If any questions exist, the reader is encouraged to contact other sources, including the agencies listed on page 4 and 5 of this book.
Resumo:
The Iowa Department of Transportation and the offices of Motor Vehicle Enforcement, Vehicle and Motor Carrier Services, and Driver Services want to make your travels into and through our state safer, legal and less complicated. This book will address and clarify many of the rules and regulations concerning the operation of commercial vehicles in the State of Iowa. However, it is not possible to include every rule and regulation that may apply. If any questions exist, the reader is encouraged to contact other sources, including the agencies listed on pages 4 and 5 of this book.
Resumo:
In 2010, 16.5 percent of all fatal vehicle crashes in Iowa involved large trucks compared to the national average of 7.8 percent. Only about 16 percent of these fatalities involved the occupants of the heavy vehicles, meaning that a majority of the fatalities in fatal crashes involve non-heavy-truck occupants. These statistics demonstrate the severe nature of heavy-truck crashes and underscore the serious impact that these crashes can have on the traveling public. These statistics also indicate Iowa may have a disproportionately higher safety risk compared to the nation with respect to heavy-truck safety. Several national studies, and a few statewide studies, have investigated large-truck crashes; however, no rigorous analysis of heavy-truck crashes has been conducted for Iowa. The objective of this study was to investigate and identify the causes, locations, and other factors related to heavy-truck crashes in Iowa with the goal of reducing crashes and promoting safety. To achieve this objective, this study used the most current statewide data of heavy-truck crashes in Iowa. This study also attempted to assess crash experience with respect to length of commercial driver’s license (CDL) licensure using the most recent five years of CDL data linked to the before mentioned crash data. In addition, this study used inspection and citation data from the Iowa Department of Transportation (DOT) Motor Vehicle Division and Iowa State Patrol to investigate the relationship between enforcement activities and crash experience.
Resumo:
This study had three objectives: (1) to develop a comprehensive truck simulation that executes rapidly, has a modular program construction to allow variation of vehicle characteristics, and is able to realistically predict vehicle motion and the tire-road surface interaction forces; (2) to develop a model of doweled portland cement concrete pavement that can be used to determine slab deflection and stress at predetermined nodes, and that allows for the variation of traditional thickness design factors; and (3) to implement these two models on a work station with suitable menu driven modules so that both existing and proposed pavements can be evaluated with respect to design life, given specific characteristics of the heavy vehicles that will be using the facility. This report summarizes the work that has been performed during the first year of the study. Briefly, the following has been accomplished: A two dimensional model of a typical 3-S2 tractor-trailer combination was created. A finite element structural analysis program, ANSYS, was used to model the pavement. Computer runs have been performed varying the parameters defining both vehicle and road elements. The resulting time specific displacements for each node are plotted, and the displacement basin is generated for defined vehicles. Relative damage to the pavement can then be estimated. A damage function resulting from load replications must be assumed that will be reflected by further pavement deterioration. Comparison with actual damage on Interstate 80 will eventually allow verification of these procedures.
Resumo:
Reliable estimates of heavy-truck volumes are important in a number of transportation applications. Estimates of truck volumes are necessary for pavement design and pavement management. Truck volumes are important in traffic safety. The number of trucks on the road also influences roadway capacity and traffic operations. Additionally, heavy vehicles pollute at higher rates than passenger vehicles. Consequently, reliable estimates of heavy-truck vehicle miles traveled (VMT) are important in creating accurate inventories of on-road emissions. This research evaluated three different methods to calculate heavy-truck annual average daily traffic (AADT) which can subsequently be used to estimate vehicle miles traveled (VMT). Traffic data from continuous count stations provided by the Iowa DOT were used to estimate AADT for two different truck groups (single-unit and multi-unit) using the three methods. The first method developed monthly and daily expansion factors for each truck group. The second and third methods created general expansion factors for all vehicles. Accuracy of the three methods was compared using n-fold cross-validation. In n-fold cross-validation, data are split into n partitions, and data from the nth partition are used to validate the remaining data. A comparison of the accuracy of the three methods was made using the estimates of prediction error obtained from cross-validation. The prediction error was determined by averaging the squared error between the estimated AADT and the actual AADT. Overall, the prediction error was the lowest for the method that developed expansion factors separately for the different truck groups for both single- and multi-unit trucks. This indicates that use of expansion factors specific to heavy trucks results in better estimates of AADT, and, subsequently, VMT, than using aggregate expansion factors and applying a percentage of trucks. Monthly, daily, and weekly traffic patterns were also evaluated. Significant variation exists in the temporal and seasonal patterns of heavy trucks as compared to passenger vehicles. This suggests that the use of aggregate expansion factors fails to adequately describe truck travel patterns.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
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Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.
Resumo:
Record of the Fatalities for Motor Vehicle Accidents in Iowa per week.