Akıllı kart verilerinin kullanılarak toplu ulaşım güvenilirlik ölçütlerinin elde edilmesi: Konya şehrinden 2 örnek hat çalışması

In Intelligent Transportation Systems (ITS) applications for Public Transit (PT), it is almost customary to monitor and collect bus trajectory data in addition to smart card systems, which includes geocoded information on ticketing. These datasets enable system managers to derive PT reliability and Level-of-Service (LOS) measures, such as average travel time, dwell time, etc, at a PT line level. However, it is also necessary to derive such measures spatio-temporally to get PT characteristics in metropolitan regions with heterogeneous land use and congestion patterns. This study focuses on processing and evaluation of smart card data (SCD) to determine PT reliability, using the case study results from Konya PT smart card system. A major goal of the study was to convert geocoded SCD to create time-space diagrams using linear referencing to a bus route. A set of data preprocessing studies have been conducted by using a database management software and a GIS software (PostgreSQL and ArcGIS) for converting data. Afterward, GIS-based technics known as Linear Referencing (LR) and Dynamic Segmentation (DynSeg) have been implemented to BTD coordinates gathered from public BTD in ArcGIS software to obtain the kilometers (aka Station Km) of the smart card records on the relevant route segments. Arrival times to the bus stops have been estimated, which also allowed estimation of inter-stop travel times (ISTT) along a route. Arrival time estimations (ATEs) have been used to visualize bus trajectory with time-space diagrams and to calculate total travel times and Travel Time (TT) reliability indicators. As a result, a route based evaluation has been made over two study PT lines in the Konya PT network by using these calculated TT reliability indicators and time-space diagrams.