摘要: |
Intelligent Transportation Systems (ITS) provide and use information about transportation conditions to improve system performance in such areas as safety, mobility, efficiency and environmental impacts. Typically, ITS generates massive amounts of data about the state of travel that are used primarily by transportation authorities to effectively operate and manage their transportation systems, and by private individuals and industry to manage trips. These primary uses provide short-term, real-time information regarding the transportation systems current conditions and driver and passenger choices. A broad spectrum of stakeholders could benefit from ITS-generated data to meet their data needs in planning, operations and maintenance, administration, training, modeling, simulations, and development of control strategies. In the context of ADUS, the term 'ITS-generated data' refers to those data generated by ITS that are primarily used 'in managing system operations and providing information on system conditions and choices to the public.' Specifically, ADUS refers to data generated from any one of the nine components that make up the ITS infrastructure: (1) freeway management, (2) incident management, (3) arterial management, (4) electronic fare payment, (5) electronic toll collection, (6) transit management, (7) highway-rail intersections, (8) emergency management, and (9) regional multimodal traveler information. |