Project
Optimizing Transportation Network
Introducing a matrix of transportation network components to address different use cases
The Benefits
Maintaining Supply Guarantees while keeping high share level
Classic traveling agent challenge. Project aims to continuously improve its prediction levels to optimize public transportation vehicle’s utilization, while addressing different use cases, during different peak and off-peak times and considering large geographical polygons that are covered by the service.
This is a technological and operational project. Using daily timeseries and other datasets, we were able to optimize classification, regression and time series data mining algorithms to perform the optimal resource allocation while preserving predetermined service level.
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