In the mobility industry, the occupancy rate is all-important: it immediately determines your profitability. The Capacity Compass supports the operation of a transport company with daily decisions regarding the deployment of vehicles by predicting the expected bus traffic. The decisions that can be made about the deployment are, for example, changing the vehicle type on a specific ride or scheduling/cancelling reinforcement rides based on the expected (lack of) traffic.
Product
Capacity Compass
Capacity Compass
Expertise
BI
BI
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The Capacity Compass supports the operation of a transport company In the mobility industry, the ccupancy rate is all-important: it immediately determines your profitability. The Capacity Compass supports the operation of a transport company with daily decisions regarding the deployment of vehicles by predicting the expected bus traffic. The decisions that can be made about the deployment are, for example, changing the vehicle type on a specific ride or scheduling/cancelling reinforcement rides based on the expected (lack of) traffic.
RANDOM FOREST MODEL
The tool contains a Random Forest model that predicts the number of passengers per date/hour/line/stop using history and external variables 1 to 4 days in advance. The predictions at hourly block level are then distributed over the rides in that specific hourly block based on historical passenger numbers. At the moment, day characteristics (public holidays, weekdays), weather forecasts and history are included. Research has been done into 9292ov search queries, and these can be added if there is a contract between carrier and 9292. Small-scale research has shown that the information is of added value. The closer the predictions are, the more 9292 adds information.
