ABSTRACT
A B S T R A C T Whilst smart card systems are becoming the standards among transit authorities, there is a growing need to valorize their collected data. Smart card data provides a continuous stream of passenger transactions that could be used to derive key performance indicators (KPI). This chapter presents methods used to calculate KPIs such as commercial speed, vehicle-kilometres, passenger-kilometres, schedule adherence and fare evasion for Canadian public transit networks. It shows the advantages of using smart card over traditional automated vehicle location systems (AVL) or automated passenger counting systems (APC), because with smart card KPI could be broken down by fare type or any other specific attributes linked to transactions. However, there are limitations to this approach because not all passengers use a smart card. Hence, fusion of data is somehow needed to complete the KPI portrait.
