03427nas a2200157   4500008004100000245008400041210006900125520286200194100001903056700001903075700001703094700001703111700002303128700001603151856010203167       2015                        eng d00aIntersection Management via the Opportunistic Organization of Platoons by Route0 aIntersection Management via the Opportunistic Organization of Pl3 aIntersections behave as a pathway for traffic redirection and play an important role in the general movement of traffic, because of this, traffic congestion is not desirable and methods to remove congestion or its effects have been implemented. Generally, congestion occurs when a group of vehicles that is large relative to available road space attempts to move through an area that cannot redirect the group effectively. The are of this paper’s focus is the intersection. Some methods currently implemented to control congestion are roadway expansion, the use of adaptive traffic lights, and the use of public transportation. Good short term solutions, they only postpone the occurrence of congestion and are also costly. One way to deal with congestion is have vehicles cooperate with each other and their intersections through means of wireless communication. The vehicles can then be organized by a management system in such a way that vehicle throughput at an intersection can be maintained even at high levels of traffic congestion. A requirement of the system proposed in this paper is that all vehicles behave autonomously in order to obtain easily predictable behavior. The following describes the results of such a simulation of such a system. The data gathered over four simulations show that a higher platoon depth causes a general decrease in delay. The results between signalized and un-signalized simulations were vastly different with the un-signalized having significantly better results. The delay at a platoon depth of 9, for the unsignalized intersection, was -1.8, this brings the ideal delay to 98.2 seconds down from 100 seconds. This was due to the way intersection merging and gap threading is performed and is valid for several reasons. Because this method of intersection management desires to decrease the delay in traffic as much as possible, it would not make sense to slow down a platoon in order to perform a maneuver. The signalized method performed significantly worse than the un-signalized due to how the signalized method was implemented. Only one traffic light was green at a time, hence, whenever a platoon was stopped at intersection, that platoon would be guaranteed a delay of at most 56 seconds, which is how long a red light lasts for one signal. Though inefficient signal timing was used, we hypothesize that the behavior of a right of way system, such as a traffic light, is fundamentally flawed. By delegating the right of way to only a few lanes at a time, it is guaranteed that some vehicles will be stopped and will therefore experience delay. In order to show that the capacity of signalized intersection management through the use of traffic lights falls short when compared to un-signalized autonomous intersection management, better traffic light control methods will need to be tested in the future.1 aHeras, Alberto1 aClaytor, Lykes1 aVolos, Haris1 aAsadi, Hamed1 aSprinkle, Jonathan1 aBose, Tamal  uhttps://csl.arizona.edu/content/intersection-management-opportunistic-organization-platoons-route00970nas a2200145   4500008004100000245007300041210006900114300001200183520044300195100001700638700001200655700002300667700003200690856010200722       2012                        eng d00aIdentifying key components of variability using Energy based Control0 aIdentifying key components of variability using Energy based Con  a2 pages3 aThis paper proposes a method to estimate the reliability of a circuit based on the energy distribution of that circuit. A circuit with a widespread energy distribution is more unreliable in comparison with one with uniform energy distribution. A gate within a circuit that has a major contribution to energy distribution will have a greater impact on the variability within the circuit as opposed to a component with a minor contribution.1 aShaikh, Fahd1 aHe, Wei1 aSprinkle, Jonathan1 aWang-Roveda, Janet, Meiling  uhttps://csl.arizona.edu/content/identifying-key-components-variability-using-energy-based-control00514nas a2200133   4500008004100000245013600041210006900177260000900246300001600255100001900271700002300290700002000313856004700333       2005                        eng d00aImplementing and Testing a Nonlinear Model Predictive Tracking Controller for Aerial Pursuit Evasion Games on a Fixed Wing Aircraft0 aImplementing and Testing a Nonlinear Model Predictive Tracking C  cJune  a1509–15141 aEklund, Mikael1 aSprinkle, Jonathan1 aSastry, Shankar  uhttp://dx.doi.org/10.1109/ACC.2005.147017900537nas a2200145   4500008004100000245011100041210006900152260001400221300001600235100001900251700002900270700002300299700002000322856004900342       2005                        eng d00aInformation Technology for Assisted Living at Home: Building a Wireless Infrastructure for Assisted Living0 aInformation Technology for Assisted Living at Home Building a Wi  cSeptember  a3931–39341 aEklund, Mikael1 aHansen, Thomas, Risgaard1 aSprinkle, Jonathan1 aSastry, Shankar  uhttp://dx.doi.org/10.1109/IEMBS.2005.161532100366nas a2200109   4500008004100000245006100041210006100102260000800163300001400171100002300185856004800208       2004                        eng d00aImproving CBS Tool Development with Technological Spaces0 aImproving CBS Tool Development with Technological Spaces  cMay  a218–2241 aSprinkle, Jonathan  uhttp://dx.doi.org/10.1109/ECBS.2004.1316702