The ATSS study somewhat demonstrated an innovative approach to apply ITS technology through surveillance, data collection, and data transmission. Use of UAVs in data collection and other tasks can be expected to dramatically improve traffic management and incident management, forest fire surveillance, and law enforcement initiatives. Lessons learned can be utilized by a variety of agencies as they expend resources to manage transportation, emergency management, disasters (both manmade and natural) incident management, and other transportation-related initiatives.
The concept of airborne data collection and dissemination for real-time use through use of UAV assets works—this has been proven, despite the fact that actual flight operations were not conducted. It is hoped that within the near future, the regulatory agencies will develop rules and standards that will allow the use of UAVs in multiple-role scenarios, from data collection to payload delivery, in rural and urban areas. Military applications of UAVs for selected missions are increasing and the associated technology spin-off is applicable for use in the civilian sector.
Transportation managers should be knowledgeable with the current and emerging technology associated with the use of remote sensors, whether they are airborne, seaborne, or on the land. There is a need for further development of the process and procedures for use of airborne assets in data collection and their associated use in transportation management. Eventually these changes will help save lives, time, and resources.
The similarity algorithm calculates how much two contents in the system are similar to one another. So far, similarity is calculated based on similarity of the project type, area of interest and user type. Generally, if two contents have more parameters in common they are more similar to each another. More information.
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