Browsing by Subject "Economic efficiency"
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Item Highway Cost Allocation and Determination of Heavy Freight Truck Permit Fees(Minnesota Department of Transportation, 2012-07) Gupta, Diwakar; Chen, Hao-WeiMinnesota Department of Transportation (MnDOT) and other state DOTs periodically carry out studies to assess how highway construction and maintenance (HCM) expenditures ought to be attributed to various vehicle classes. In parallel, each vehicle-class’ contribution to revenues from fuel and excise taxes and permit fees are calculated. Although, the latter are determined by the state legislature, the cost-to-revenue ratio helps inform MnDOT if changes to policy could be justified. A variety of methods have been developed to apportion HCM costs to different user classes. The purpose of this study was to evaluate pros and cons of different HCA methods and to identify/develop a methodology best suited for conditions in Minnesota. Researchers also carried out a highway cost allocation study (HCAS) using the latest data from Minnesota. In addition, the methodology developed in this project can be used to evaluate damage costs to the road system from permitting more than 80,000-lb gross vehicle weight trucks on Minnesota roads and the users’ willingness to pay for such permits.Item Improving the Safety and Efficiency of Roadway Maintenance Phase II: Developing a Vision Guidance System for the Robotic Roadway Message Painter(Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2013-02) Rosandich, Ryan G.Repainting existing roadway markings (turn arrows, STOP messages, railroad crossings, etc.) is an important task for transportation maintenance organizations. MnDOT estimates that over 75% of symbol and message painting is the repainting of existing markings. It would be extremely valuable for an automated painting system to have a vision guidance capability whereby an existing mark could be repainted accurately with little operator input. In this project a vision system was developed that is capable of identifying existing painted pavement markings and determining their dimensions, location, and orientation. Techniques were also developed whereby this information could be used to determine the location of the marking in the workspace of a painting robot to enable it to accurately repaint the marking. The vehicle-mounted robotic painter is still being built and tested, so final test results will not be available until the vision system can be completely integrated with the painter, and the two can be tested together. The accuracy of the projection produced using the techniques developed in this project would suggest that the final system will be capable of repainting pavement markings almost exactly where they appear on the roadway. Expected benefits of the deployment of a vision-guided robotic painting device include improved operator safety, improved productivity, and improved flexibility in roadway marking and repainting operations. Eventual users of a device using this technology could be city, county, state, and federal government agencies and private companies or contractors.