Simon Box

Learn More
An automated signalized junction control system that can learn strategies from a human expert has been developed. This system applies Machine Learning techniques based on Logistic Regression and Neural Networks to affect a classification of state space using evidence data generated when a human expert controls a simulated junction. The state space is(More)
This paper shows how temporal difference learning can be used to build a sig-nalized junction controller that will learn its own strategies though experience. Simulation tests detailed here show that the learned strategies can have high performance. This work builds upon previous work where a neural network based junction controller that can learn(More)
This paper presents a method for simulating the flight of a passively controlled rocket in six degrees of freedom, and the descent under parachute in three degrees of freedom. Also presented is a method for modeling the uncertainty in both the rocket dynamics and the atmospheric conditions using stochastic parameters and the Monte Carlo method. Included(More)
An experiment was conducted using the InnovITS proving ground in Nuneaton. Thirty cars with volunteer drivers were asked to drive around a tight closed road circuit causing them to pass repeatedly through a cross-roads junction from all directions. The junction was signalized. In different test-runs of the experiment the traffic lights were controlled by(More)
— This paper is concerned with smartphone based inertial sensors for locating pedestrians. Two set of experiments were conducted over seven subjects. One set of the subjects walked along a straight path at a perceived normal and speedy pace, and the other set of subjects traversed a simple map consisting of two L shaped paths. In the experiments, a(More)
This paper presents a methodology for fusing data from multiple sensors, including wireless devices, to make an estimation of the state of an urban traffic network. An extended Kalman filter is employed along with a state evolution model to make estimates of the state in a discretized network. Results are presented from simulation tests of signal(More)
This paper describes a methodology for fusing data from multiple sensors, including wireless devices and inductive loops, to make an estimation of the instantaneous state of an urban traffic network. An extended Kalman filter is employed along with a state evolution model to make estimates of the state in a discretized network. The instantaneous state is an(More)
In a study of 132 women having endometrial biopsy with either a Novak or Randall aspiration curet before hysterectomy, a tenaculum was not used initially if the curet could be passed easily through the cervix. One biopsy specimen was taken from the anterior endometrium and one from the posterior endometrium. Biopsy was successful in 80 women (61%) and(More)
Research Cite this article: Box S. 2014 Supervised learning from human performance at the computationally hard problem of optimal traffic signal control on a network of junctions. 1. Summary Optimal switching of traffic lights on a network of junctions is a computationally intractable problem. In this research, road traffic networks containing signallized(More)