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Development of a Conceptual Framework Toward an Integrated Transportation System

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English


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    Research Project August 1, 2008-August 31, 2009
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  • Abstract:
    The envisioned framework involves three levels of control: the global level, local level, and vehicle level. At the global level, a high-level simulation at the traffic operation center (TOC) gathers pieces of traffic information from field sensors, generates a system-wide overview, and preview system evolution in the near future, e.g. the next half to one hour, with the assistance of available traffic prediction techniques. As a result, the simulation output could assist traffic managers to identify potential problems in advance, test control strategies, and take preventive actions before the problems build up. At the local level, a roadside equipment (RSE) keeps a high resolution local map, communicates with all vehicles within range, and exchanges information with the TOC. A low-level simulation could run at the RSE to preview local traffic operation in the near future, e.g. five to ten minutes, with the assistance of short-term traffic prediction techniques. The simulation result enables the RSE to communicate with drivers and coordinate them to move in an orderly, efficient, and safe fashion. At the vehicle level, a vehicle communicates with an RSE within range as well as other surrounding vehicles. Therefore, this vehicle knows its surroundings (from other vehicles), its local context (from the RSE), and the global context (from the TOC via the RSU). A ground-level simulation could run in this vehicle to integrate information from other vehicles, the RSE, and the TOC (via the RSE). The simulation result enables the driver to preview his/her position and surroundings in the next half to one minute. In addition, the simulation could assist driving by suggesting control strategies or taking partial or full control of the vehicle.
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    urn:sha-512:160143d242c0e0b91f46fb172a0e3be44a42c4ec5adc5bcd8816309739ba2644f4398ce4a7a210b6fd8fe1e6b7d288e895716cb66a5a81fb5745f9b5134d4569
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    Filetype[PDF - 1.10 MB ]
File Language:
English
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