945 resultados para advanced rural transportation systems.
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To combat unsustainable transportation systems characterized by reliance on petroleum, polluting emissions, traffic congestion and suburban sprawl, planners encourage mixed use, densely populated areas that provide individuals with opportunities to live, work, eat and shop without necessarily having to drive private automobiles to accommodate their needs. Despite these attempts, the frequency and duration of automobile trips has consistently increased in the United States throughout past decades. While many studies have focused on how residential proximity to transit influences travel behavior, the effect of workplace location has largely been ignored. This paper asks, does working near a TOD influence the travel behaviors of workers differently than workers living near a TOD? We examine the non-work travel behaviors of workers based upon their commuting mode and proximity to TODs. The data came from a 2009 travel behavior survey by the Denver Regional Council of Governments, which contains 8,000 households, 16,000 individuals, and nearly 80,000 trips. We measure sustainable travel behaviors as reduced mileage, reduced number of trips, and increased use of non-automobile transportation. The results of this study indicate that closer proximity of both households and workplaces to TODs decrease levels of car commuting and that non-car commuting leads to more sustainable personal travel behaviors characterized by more trips made with alternative modes.
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The need for more sustainable public transportation choices drives innovation and provides opportunity for improvement in options. Transit buses provide many advantages for efficient transportation and electric drive vehicles are anticipated to play an increasing role in future transportation systems. A lifecycle cost analysis of battery electric transit buses indicates rate structures and demand charges do not currently have a large impact on lifecycle cost for small fleets of battery electric buses. As fleets grow, policies and rate structures will need to adjust to avoid becoming a barrier to adoption. Battery electric transit buses are now being developed which promise to address the primary issues of high life cycle cost, low reliability, range, and flexibility.
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Integration is currently a key factor in intelligent transportation systems (ITS), especially because of the ever increasing service demands originating from the ITS industry and ITS users. The current ITS landscape is made up of multiple technologies that are tightly coupled, and its interoperability is extremely low, which limits ITS services generation. Given this fact, novel information technologies (IT) based on the service-oriented architecture (SOA) paradigm have begun to introduce new ways to address this problem. The SOA paradigm allows the construction of loosely coupled distributed systems that can help to integrate the heterogeneous systems that are part of ITS. In this paper, we focus on developing an SOA-based model for integrating information technologies (IT) into ITS to achieve ITS service delivery. To develop our model, the ITS technologies and services involved were identified, catalogued, and decoupled. In doing so, we applied our SOA-based model to integrate all of the ITS technologies and services, ranging from the lowest-level technical components, such as roadside unit as a service (RS S), to the most abstract ITS services that will be offered to ITS users (value-added services). To validate our model, a functionality case study that included all of the components of our model was designed.
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Texas Department of Transportation, Austin
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Transportation Systems Center, Cambridge, Mass.
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Transportation Department, Office of the Assistant Secretary for Systems Development and Technology, Washington, D.C.
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Mode of access: Internet.
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National Highway Traffic Safety Administration, Washington, D.C.
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Wyoming Highway Patrol, Commercial Carrier Section, Cheyenne
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Federal Transit Administration, Washington, D.C.
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Federal Transit Administration, Washington, D.C.
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Federal Transit Administration, Washington, D.C.
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Federal Transit Administration, Washington, D.C.
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Federal Transit Administration, Washington, D.C.
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Federal Highway Administration, Arlington, Va.