Sustainable Aviation: Fuel Use Reduction Through Algorithmic Routing in Airspace

Overview

Globally, commercial aviation generates one billion tons of CO2 emissions annually. Fuel consumption is >30% of the airline budget. While current practices automate the complex handoffs from a safety perspective, they assume static inputs and ideal conditions and rely on human decisions at ATC to solve for congestion. Further, prevailing practices retain the historically reductionist approach to nodes available for route planning. Our work relies on the ubiquity of inexpensive compute to expand the node space available for route planning, both ahead of filing a flight plan, and in real-time, considering airspace congestion, winds aloft, time, and aircraft weight and altitude-based fuel burn curves as inputs and solving for minimal fuel use through a modified 4-D Dijkstra implementation. The model was trained on data from N=2,819 commercial flights and resulted in savings of 426 kg on average per flight on a test of n=96 routes over the United States mainland. The results translated into a reduction of between 5.3% and 6.9% in fuel spend per flight with approximately one-sixth of it realized from optimizing descent. As a robotic, ultra-low-cost module, this can surface inflight re-routing options that clear a threshold of fuel or time savings. At scale, it delivers direct carbon offsets and meaningful reductions in climate liability for commercial aviation. Creating an Aerodynamic Control Recovery Systems for Coupe Body Cars to Increase the Probability of Regaining Control at High Speeds Abdiel Sáez Esc. Especialzada en Ciencias y Matematics, Dr. Pedro Albizu Campos, Puerto Rico Speed is a factor considered at the time of an accident, as only a 1% increase in speed increases the probability of fatal accidents by 4%. Can the creation of a Non-Electronic Aerodynamic Control Recovery System and an Active Safety Electronic System in coupe cars increase the likelihood of regaining control at high speeds? 88 If when creating the systems, "flaps" are integrated into coupe body cars and these produce pressure and wind resistance, then this technology will reduce the speed of the car quickly and prevent the tires from rising from the ground increasing the probability of regaining control at high speeds. An RC was used, which was modified by placing 3 "flaps" and electronics (in the case of the second system). T o test it 3 subjects performed a maneuver. For this, the car was placed accelerating and passing through the left of a cone, then turning sharply to the right and then another sharp turn to the left. It was repeated 5 times and 5 times in reverse with each car and with each subject using the wind in 2 different directions. The Electronic Experimental Auto was the most effective surpassing by 0.75m (46.44%) and 1.53sec (48.80%) on average to Auto Control. The Non-Electronic Experimental Auto regained control 0.39m (21.73%) and 0.04sec (1.03%) before Auto Control. The hypothesis was accepted since the Experimental Cars regained control in less time and distance than Auto Control. The Influence of the Mental Health of Puerto Rican Teenagers Student-Athletes on Their Physical Performance Dereck O. Soto Coriano Escuela Secundaria de la Universidad de Puerto Rico, San Juan, Puerto Rico In Puerto Rico, there is not much research on the mental health of teenage student-athletes. However, various types of research found that many students in the country suffer from different mental disorders. Mental health affects how they think and act; at the same time, mental health has numerous physical effects that influence physical performance. This research focuses on how mental health affects the physical performance of a teenage student-athlete in Puerto Rico. It uses a questionnaire of 52 questions to collect non-probabilistic information about the mental health of student-athletes that participated and their physical performance. It found that mental health indirectly affects the physical performance of these teenage student-athletes. If a student-athlete has poor mental health, their physical performance will reduce. Many students consider that they have good mental health but suffer from anxiety, little motivation, and sadness, among other feelings that lower quality sleep and, on occasion, cause eating disorders. By not sleeping or eating well, the body suffers from fatigue, muscular pain, physical tiredness, and agitation, where their physical performance is going to be affected; a teenage student-athlete with poor mental health is not going to produce at his highest potential. This information should give more significant importance to the mental health of these student-athletes and help them achieve their full potential.