Determining reliable section-wise bus travel times using gps data: a case study of Kandy city

Abstract

Reforming bus operations in Kandy City is a part of the ongoing Strategic City Development Project. This study carries out under the GPS data analysis of the Kandy Bus Reforms Project (KBRP). The GPS data consists of device id number, device time, GPS coordinates, and bus speed at that moment. Capturing bus trips of selected bus routes, obtaining arrival times, dwell times, and departure times from waypoints, performing a summary of monthly bus trips, and providing reliable bus travel times to the passengers in different periods are the main objectives of this study. The data cleaning, reading, and analysis are executed using Python programming language with several data manipulating libraries. The initial study has done for Kandy – Amunugama route with the GPS data collected for 2 months.