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NEXCO EAST (Chiyoda-ku, Tokyo) and the University of Tokyo Graduate School Interfaculty Initiative in Information Studies (Bunkyo-ku, Tokyo) (hereinafter referred to as the "organizers") are conducting the 2nd Traffic Congestion Forecasting Project, with the aim of advancing traffic congestion prediction through the use of big data. We will hold a challenge contest. Similar to the first contest, in addition to traffic volume and speed data, participants will use previously unused route search data (Expressway outing schedule information) to predict traffic jams.
This time, compared to the first contest, we aim to further improve prediction accuracy by providing more detailed traffic data, etc., and improve versatility by adding Tohoku Expressway to the prediction target. Masu.

1. Outline of Challenge Contest

Details: See attached [PDF: 169KB]​

2. Schedule

3. Qualification requirements

Anyone can apply, regardless of whether they are corporations or individuals.

Four. Application method

Please apply from the dedicated page of this contest published on the competition site "SIGNATE".

Five. judge

• Noboru Koshizuka, Professor, Interfaculty Initiative in Information Studies, Graduate School of the University of Tokyo
• Yuno Shibuya, Associate Professor, Spatial Information Science Research Center, The University of Tokyo
• Mobility Journalist Etsuko Kusuda
• NEXCO Research Institute Traffic Environment Research Department Transportation Research Director ​Kenjan　​Soshin
• Noriyoshi Nakanishi, General Manager of ITS Promotion Department NEXCO EAST Management Business Headquarters

6. What is a challenge contest?

This is a part of the ``Joint Research on Data Utilization Initiatives'' based on the ``Research Cooperation Agreement on Information Society Infrastructure'' concluded in 2011 by NEXCO EAST and the University of Tokyo Graduate School Interfaculty Initiative in Information Studies.
One of the things NEXCO EAST is working on to create a safer and more secure transportation future is traffic congestion prediction. Research on traffic jams has found causes and mitigation methods, but in practice predictions are still being made based on years of experience.
This contest is one of the priority projects (6) and (29) of the company's "Aim for Next-Generation Expressway (Concept) to Accelerate the Realization of an Autonomous Driving Society" (announced on April 28, 2021). , we are looking for innovative data analysis examples aimed at improving the accuracy of traffic congestion prediction by utilizing big data.

The NEXCO EAST Group has positioned the period from 2021 to 2025 as "a period to contribute to the achievement of the SDGs and transform toward a new future society", and is making various efforts.
We believe that the holding of this Congestion Prediction Challenge Contest will contribute to SDGs goals 3 and 9 as a business activity that will lead to the provision of safe road spaces by alleviating traffic congestion.

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