Metro de Madrid implemented Demand Modelling system from OD matrixes
Metro de Madrid is the 14th longest rapid transit system in the world with 293 km of rail network in the city of Madrid, the capital city of Spain. The system carries around 450 million riders annually. Madrid Metro implemented a Demand Modelling system with OD matrixes in 2018. This involves a three-step process from ticketing sales registers, through matrix generation algorithms to passenger’s estimated load onboard trains. Its main purpose is to model passenger flow and crowd management is a side subsystem.
The system works on metro IT legacy systems and new powerful database tools. However, the agency developed an in-house solution using python and also used VISUM and Cloudera. Metro de Madrid model generation system links three key steps
Via the VISUM process assignment, rough entries to the network are transformed into train estimates load as shown below:
The main purpose is to identify and calculate the maximum load sections on each line in order to elaborate and optimise train schedule.
Other processes and departments benefit from modelling products.
Passengers are also end users of some derived features published on the web and mobile interfaces.
