22 May 2014
Initial findings from PhD – Provision of rail passenger information during disruption using aspects of knowledge discovery, crowdsourcing, social media, ubiquitous computing and the Internet of Things
Meeting Room 1, Ground Floor, JLB
14:15pm - 15:45pm
Simon Ball - Transport Research Laboratory (TRL). Based in Berkshire
Simon is currently studying part-time for a PhD in rail passenger information during disruption at TRL and the OU. He is approaching his probation assessment and in this talk will present the initial findings from PhD and discuss the work plan for the remainder of the PhD. The working title of the PhD is, “Provision of rail passenger information during disruption using aspects of knowledge discovery, crowdsourcing, social media, ubiquitous computing and the Internet of Things”. He will present on two aspects of his research:
- Hypothesis I: Social media contains valuable information for transport operators and transport users and this information can be harvested.
- Hypothesis II: Automatic Passenger Counting (APC) data on-board trains has the potential to deliver more even loadings on trains through new real-time and static systems; furthermore, such systems have benefits of reduced dwell times and reduced overcrowding and are of value to rail passengers and train operators.
Simon is a Research Scientist in the Intelligent Transport Systems and Public Transport Groups at the Transport Research Laboratory (TRL). Based in Berkshire, TRL is a leading organisation for independent transport research and consultancy, having previously been the research wing of the Department for Transport. TRL is an Associated Research Centre to the OU and Simon is currently studying part-time for a PhD in rail passenger information during disruption, registered through the OU under supervision from Gerd Kortuem. In his Public Transport role, Simon has worked on many desk-based multi-modal research studies, with a focus on in-depth quantitative analysis and spreadsheet modelling. He has also worked on several independent statistical studies to inform government policy, both on-street and track trials. In his ITS role, he has expertise in several areas including: data integrity, system architecture, data markets, business models for co-operative systems, road pricing verification, assessing the impacts of ITS, micro-simulation, ITS standards and incident management.
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