Ride hailing company Didi Chuxing testing more efficient algorithm for assigning drivers to rides in select Chinese cities

January 10, 2019

  • Ride Matching Algorithm – Ride hailing firm Didi Chuxing testing new algorithm for assigning drivers to rides in select cities
  • Reinforcement Learning – Uses reinforcement learning, form of machine learning that accepts rewards and penalties for accomplishing goals
  • More Integrated – Combines forecasting system which predicts changes in rider demand and matching system that assigns drivers to rides into one algorithm, instead of having two parts in old algorithm
  • Simplified Process – Integrated approach removes need to retrain new algorithm if patterns of driver supply and rider demand change, unlike in old algorithm which cannot evolve with changing supply and demand
  • Greater Efficiency – A/B Testing found new algorithm is more efficient than older algorithm
  • Initial Rollout – Plans rollout in select Chinese cities, with timeline undisclosed
Didi Chuxing logo

Image Source: Didi Chuxing

Didi Chuxing logo

Image Source: Didi Chuxing

Sectors: Information Technology, Transportation and Logistics
Organization: DiDi Chuxing

Original Publication Date: December 12, 2018

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