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Worldwide, air travel demand has greatly increased and historical travel demand data is essential for air transportation planning, policy-making and market evaluation. However, historical air travel demand is not always available or complete and oftentimes must be estimated. To address this problem, we present a non-linear optimization model to estimate the historical air travel demand between origin...
• Our methods generate itinerary-level demand and actual capacity estimation for each carrier. • They are easy and inexpensive to implement. They only utilize the existing data sets (i.e., form 41 and DB1B data). • They have better applicability. Compared with the existing method, our methods do not require the route attributes information or the efforts for parameter calibration. • The main focus...
Collaborative decision making (CDM) is a process of reaching consensus on a potential solution of an issue through the evaluation of the different possible alternatives. The web-based intelligent computational argumentation system allows concerned stakeholders to post their arguments on different alternatives, assign weights and priorities to the arguments and reach the most favorable alternative...
Origin-destination (O-D) trip table is necessary information for transportation planning and traffic impact study. However, current O-D estimations rely on estimated directional traffic counts at intersections, which obviously diminish reliability in the table. A video-based vehicle tracking system that utilizes wide view-angle lenses has been studied [26] to provide accurate direction traffic counts...
A new video-based vehicle tracking system is proposed to provide accurate information on directional traffic counts at intersections. The extracted counts are fed to estimate an origin-destination trip table which is necessary information for traffic impact study and transportation planning. The system utilizes a fisheye lens to expand the area covered by a single camera and uses a particle filtering...
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