Ben Waterson

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This paper reports on results of a study undertaken in the U.K. aimed at investigating factors affecting the car following process. An understanding of the factors affecting this complex decision making process is essential to a wide range of theoretical issues including driver workload, capacity and the modeling of freeway flow, as well as practical(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)
The history of urban traffic control (UTC) throughout the past century has been a continued race to keep pace with ever more complex policy objectives and consistently increasing vehicle demand. Many benefits can be observed from an efficient urban traffic control system, such as reduced congestion, increased economic efficiency and improved road safety and(More)
This paper reports on results of an exploratory study aimed at examining driver glance behaviour, near the onset of and during congestion on motorways and how it is affected by factors external to the vehicle. Data has been collected on eye movements from six test subjects, each undertaking three test drives. Analysis has examined average glance times and(More)
This paper describes the RAID algorithm, (Remote Automatic Incident Detection) designed to detect abnormal periods of traffic congestion existing over single inductive loop detectors (typically 2m by 1.5m). RAID identifies those detectors which show a critical increase in Average Loop-Occupancy Time Per Vehicle (ALOTPV) coinciding with a critical decrease(More)
This paper describes a modelling approach used to investigate the significance of key factors (vehicle type, compaction type, site design, temporal effects) in influencing the variability in observed nett amenity bin weights produced by household waste recycling centres (HWRCs). This new method can help to quickly identify sites that are producing(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 crossroads junction from all directions. The junction was signalized. In different test-runs of the experiment the traffic lights were controlled by(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)