View all newsletters
Receive our newsletter - data, insights and analysis delivered to you
  1. Technology
  2. AI and automation
March 9, 2018updated 29 Jun 2022 4:55am

Toyota, Accenture move AI taxi fleet system up a gear

Using real-time data, Toyota and Accenture may have managed to pave the way to an autonomous future.

By April Slattery

Toyota and Accenture have announced plans to pilot an artificial intelligence (AI) taxi service in Japan, alongside other companies.

The pilot scheme will also be carried out with Japan Taxi and telecommunications carrier KDDI, which aims to bring a better taxi service to both customers and drivers using a new artificial intelligence (AI) system. Data is extracted from a number of sources, including smartphones, cab locations and weather patterns.

Combining data from taxi service logs with demographic predictions, based on location data as well as event information the AI system can help predict the best place to pick up passengers. Using 500-meter mesh-based parameters every 30 minutes, the system uses AI to predict the number of occupied taxis in Tokyo.

The pilot begun in February this year, within select taxi’s using tablet PC’s equipped with the AI system. Using the map on the tablet shows both the predicted number of taxis as well as the most recent number of unoccupied taxis in the area. This then allows drivers to position their taxis based on the supply to demand basis.

Once taxi drivers know the areas of demand, it enables them to locate themselves in those higher areas to reduce waiting time for passengers as well as increase profits for themselves. Using AI technology the tablet can also direct drivers on the best route to get to where the passenger demand is, using real-time traffic data.

To date, the pilot has seen a 94.1% accuracy in the AI system results, which has enabled Toyota and Japan Taxi to increase profits for taxi drivers by around 20%. This is a significant increase and positive outcome from the pilot, compared to the average of 9% profit that is normally achieved.

As well as boosting taxi sales and pick up times the companies believe that the system can contribute to transforming the taxi industry, enhancing convenience while also being used as a training tool for new taxi drivers.

Content from our partners
Green for go: Transforming trade in the UK
Manufacturers are switching to personalised customer experience amid fierce competition
How many ends in end-to-end service orchestration?
Waymo jumps on the bandwagon
What about the storage for the cars?
Artificial Intelligence reaps benefits in all areas

The group also hopes that the use of an AI system within cars will enable better collection of real-time data, which could help build dynamic road maps for the future adoption of autonomous vehicles.

The key aim of the initiative is to fulfil the demand during the peak times, to reap the benefits for both passengers and drivers especially during those peak times. As the pilot has proved a success so far, it looks like a positive future for the residents of Tokyo for future ride-hailing services.

Topics in this article : , , , ,
Websites in our network
Select and enter your corporate email address Tech Monitor's research, insight and analysis examines the frontiers of digital transformation to help tech leaders navigate the future. Our Changelog newsletter delivers our best work to your inbox every week.
  • CIO
  • CTO
  • CISO
  • CSO
  • CFO
  • CDO
  • CEO
  • Architect Founder
  • MD
  • Director
  • Manager
  • Other
Visit our privacy policy for more information about our services, how New Statesman Media Group may use, process and share your personal data, including information on your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address.
THANK YOU