easily analyzed for various record requests referring to fig6 a method of determining and responding to a travel disruption is illustrated in a particular disruption point along a travel path the schedule data also referred to as target data is compared to actual monitored real time data to determine a difference measurement at 602 the difference measurement is then compared to a disruption threshold at 604 a passenger state is then generated at 606 the passenger state may be a particular disruption activity level one method of indicating disruption potential is by providing a set of three different disruption levels in this example a green status indicates little or no disruption a yellow status would indicate a warning of potential disruption and a red indication would mean a determined or very high likelihood disruption event condition while the illustrated method uses three different disruption levels it should be understood that a set of two or many more different disruption levels may be used to indicate a disruption condition the passenger state information is monitored at 608 and if a problem is detected an alternate solution using a rules based analysis is determined at 610 an example of an alternate solution could be taking a different flight or may be scheduling alternate means of transportation such as a bus train rental car etc the alternate solution in response to the disruption event is then communicated at 612 referring to fig7 a method for monitoring the status and situation of any national air space nas stakeholder including any passenger before during and after that stakeholder enters nas is illustrated the stakeholder status is determined by aggregating travel agency ta passenger reservation data at 702 central.