One of the main goals of the project is to evaluate the operational stability of the bus network in Ho Chi Minh City. To achieve this goal, the project collects data on the location (updated every 10 seconds) of each bus operating in the city, thereby reconstructing the timetable from the actual operation of each day. The project uses graph theory and network analysis techniques to evaluate bus network connectivity fluctuations over space and time and for each day of the year. Since the network model representing the operation of bus routes is large and needs to be updated regularly, analysis algorithms will be built using the GraphX toolkit in Apache Spark. In addition, the Monte Carlo method used on discrete event simulation models allows accurate testing and evaluation in an economical way, effectively evaluating solution groups to improve the stability and punctuality of the bus network when there are fluctuations in the operating environment (for example due to traffic jams, road flooding).
The BUDF (Big Urban Data Facility) built in the project will be one of the pioneering models in the country not only for the purpose of storing and providing processing capacity but also importantly, allowing multiple users to query, explore, and analyze large urban data sets.