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- W640233067 abstract "Intelligent Transportation Systems (ITS) has been a primary program focus of the U.S. Department of Transportation since its origination in the Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA). The federal program funded early deployment planning studies for the 75 largest metropolitan areas, where significant congestion and pollution problems and the size and complexity of the transportation systems presented the greatest need for operational improvements. Recent benefit studies have shown that a number of technologies can have a significant effect on increasing the efficiency and safety of a region's transportation system. Now that the federal program is mature, and benefits have been realized, the transportation system outside large U.S. urban areas is beginning to look toward information and communication technologies to address transportation goals. The federal government recently initiated a rural program, ARTS. However, no specific program has focused on the needs of small urban areas, where 16.5% of the U.S. population lives. The study considers how planning can aid small urban areas in determining appropriate solutions for their transportation networks. This was accomplished through a case study of the Charlottesville region. Based on the findings, a number of recommendations for how best to plan for in small urban areas in Virginia and other areas were made. These include using the Federal Highway Administration's ITS Planning Process, Version 2.1 for small urban area studies and suggesting that the Virginia Department of Transportation incorporate the method in its planning for small urban areas. Other recommendations include using an additional market package screen for the Planning Process and calling for the federal program to fund planning studies in small U.S. urban areas." @default.
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- W640233067 date "1997-09-01" @default.
- W640233067 modified "2023-09-23" @default.
- W640233067 title "PLANNING FOR INTELLIGENT TRANSPORTATION SYSTEMS IN SMALL URBAN AREAS" @default.
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