J. Davies - Academia.edu (original) (raw)
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Papers by J. Davies
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015
We describe the development of a predictive model for vehicle journey time on highways. Accurate ... more We describe the development of a predictive model for vehicle journey time on highways. Accurate travel time prediction is an important problem since it enables planning of cost effective vehicle routes and departure times, with the aim of saving time and fuel while reducing pollution. The main information source used is data from roadside double inductive loop sensors which measure vehicle speed, flow and density at specific locations. We model the spatiotemporal distribution of
travel times by using local linear regression. The use of real-time data is very accurate for shorter journeys starting now and less reliable as journey times increase. Local linear regression can be used to optimally balance the use of historical and real time data. The main contribution of the paper is the extension of local linear models with higher order autoregressive travel time variables, namely vehicle flow data, and density data. Using two years of UK Highways Agency (HA) loop sensor data we found that the extended model significantly improves predictive performance while retaining the main benefits of earlier work: interpretability of linear models as well as computationally simple predictions.
Lecture Notes in Computer Science, 2010
Evolution in the telecommunications sector has led to companies within it providing APIs for thei... more Evolution in the telecommunications sector has led to companies within it providing APIs for their products and services, allowing others to build communication services into their own service offerings. In order to support mass adoption of this new approach, consumers of these APIs (many of which are RESTful) must be supported by a reduction in the complexity involved with describing, finding, composing and invoking them. Existing efforts to provide automation have, in general, focused on WSDL services rather than REST services. The paper explores the approach of the SOA4All project in supporting interaction with REST services which is being applied in a telecommunications focused case study.
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015
We describe the development of a predictive model for vehicle journey time on highways. Accurate ... more We describe the development of a predictive model for vehicle journey time on highways. Accurate travel time prediction is an important problem since it enables planning of cost effective vehicle routes and departure times, with the aim of saving time and fuel while reducing pollution. The main information source used is data from roadside double inductive loop sensors which measure vehicle speed, flow and density at specific locations. We model the spatiotemporal distribution of
travel times by using local linear regression. The use of real-time data is very accurate for shorter journeys starting now and less reliable as journey times increase. Local linear regression can be used to optimally balance the use of historical and real time data. The main contribution of the paper is the extension of local linear models with higher order autoregressive travel time variables, namely vehicle flow data, and density data. Using two years of UK Highways Agency (HA) loop sensor data we found that the extended model significantly improves predictive performance while retaining the main benefits of earlier work: interpretability of linear models as well as computationally simple predictions.
Lecture Notes in Computer Science, 2010
Evolution in the telecommunications sector has led to companies within it providing APIs for thei... more Evolution in the telecommunications sector has led to companies within it providing APIs for their products and services, allowing others to build communication services into their own service offerings. In order to support mass adoption of this new approach, consumers of these APIs (many of which are RESTful) must be supported by a reduction in the complexity involved with describing, finding, composing and invoking them. Existing efforts to provide automation have, in general, focused on WSDL services rather than REST services. The paper explores the approach of the SOA4All project in supporting interaction with REST services which is being applied in a telecommunications focused case study.