Spatio-temporal Network-Constrained Trajectory Data Model and Service Reliability Assessment

Abstract

ABSTRACTDue to urbanization and increase in traffic density, provision of efficient public transport facility is a major component of planning and development. The spatio-temporal data of vehicles’ movement have mainly led to mobility pattern analysis, which eventually reveal new information about the efficiency of transport service. This research focuses on extracting mobility patterns of bus service for students in Lahore City. Trajectory data collected through GPS survey have been processed by using MYSQL spatial database applications and HTML to identify areas in entire route of bus service causing delay. Three different types of delay have been calculated, namely stop delay, simple path delay, and path repeated delay. The entire analysis results reveal that mainly the delay is caused at start segments of planned route or the last segment of stop route. The major cause of delay is bus movement on tertiary roads through congested commercial areas.