Performance indicators board

The Performance Indicators Board (PIB) is a top level oriented module for masstransport companies. The objective of PIB is to collect and to show the planning andcontrol information to support the decision making process. In this paper, the authorsdescribe the indicators identification process and the logic architecture of the module,in particular its query tool

Operational indicators for public transport companies

The Operational Indicators Board is a top level oriented module for mass transportcompanies. The proposal is to collect and to show the planning and control information tosupport the decision making process. In this extended abstract the authors describe theindicators identification process and discuss the main ideas for the module functionality.The authors acknowledge the financial support given by Agência de Inovação to theEUROBUS project in which the work here described is included

Online failure prevention from connected heating systems

Many water boiler manufacturers are not able to detect theoccurrence of failures in the machines they produce before they can poseinconvenience and sometimes danger for costumers and workers. Moreover,the number of boilers that have to be monitored, are many times inthe range of the thousands or even millions, proportionaly to the numberof costumers a company possesses. The detection of these failuresin real time, would provide a significant improvement to the perceptionthat consumers have of a certain company, since, if these failures occur,maintenance services can be deployed almost as soon as a failure happens.In this paper, an application prototype capable of monitoring andpreventing failures in domestic water boilers, on the fly, is presented.This application evaluates measurements which are performed by sensorswithin the boilers, and identifies the ones that greatly differ fromthose received previously, as new data arrives, detecting tendencies whichmight illustrate the occurrence of a failure. The incremental local outlierfactor is used with an approach based on the interquatile range measureto detect the outlier factors that should be analysed

Monitoring a national open access funder mandate

Comunicação apresentada na "11th International Conference on Open Repositories" (OR 2016), Dublin, Irlanda, 13 - 16 de junho de 2016.The definition of an Open Access funder mandate involves usually in a long process of advocacy but it’s only the first step of a broader process. This presentation focus on the implementation of the monitoring process of a funder open access policy with implication at national level. The practical implementation is based on some assumptions: using existing infrastructure and defined guidelines. This work presents the options taken to simplify the process of reporting to the researchers and the role of the existing infrastructure to support new challenges.Fundação para a Ciência e Tecnologia (FCT

On improving operational planning and control in Public Transportation Networks using streaming Data: A Machine Learning Approach

Nowadays, transportation vehicles are equipped with intelligent sensors. Together, they form collaborative networks that broadcast real-time data about mobility patterns in urban areas. Online intelligent transportation systems for taxi dispatching, time-saving route finding or automatic vehicle location are already exploring such information in the taxi/buses transport industries. In this PhD spotlight paper, the authors present two ML applications focused on improving the operation of Public Transportation (PT) systems: 1) Bus Bunching (BB) Online Detection and 2) Taxi-Passenger Demand Prediction. By doing so, we intend to give a brief overview of the type of approaches applicable to these type of problems. Our frameworks are straightforward. By employing online learning frameworks we are able to use both historical and real-time data to update the inference models. The results are promising