Toyota and JapanTaxi jointly with KDDI Corporation and Accenture, have developed a taxi dispatch support system that predicts demand for taxi services, combining data from taxi service logs with predictions of demographics made by location-based big data from smartphones as well as event information. The companies have started to deploy the system in Metropolitan Tokyo on a trial basis.
The system uses artificial intelligence (AI) to predict the number of occupied taxis in Tokyo using 500-meter, mesh-based parameters every 30 minutes. The companies collect taxi service log data and demographic predictions as well as other factors that affect taxi demand such as weather, public transport service availability, and events at large facilities, and apply learning models through an AI-based system to predict the size of demand. In a test run in Tokyo, the system demonstrated a high accuracy rate of 94.1 percent.
Role of Each Company
- Process and analyze collected big data on its Mobility Services Platform (MSPF), and provide JapanTaxi with taxi demand prediction data.
- Collect data affecting taxi demand such as weather, public transport service availability, and events at large facilities.
- Develop app that offers taxi demand prediction data to taxi drivers.
- Collect and offer taxi service log, positional information of unoccupied taxis, and routes on which drivers are likely to find passengers via a taxi company.
- Develop a demographic prediction technology that considers people flow such as those moving and staying using KDDI’s location-based big data from smartphones and provide prediction data.
- Jointly define requirements with the three other companies and develop the analytics algorithm of artificial intelligence that powers the taxi demand prediction engine.