Didi travel plans to expand the data open plan to promote global AI research and development

China’s car platform Didi travel announced at the 97th Annual Meeting of the Transportation Research Council (TRB) (TRB 2018) that it will further expand the openness of the Gaia Data Open Program and open anonymized data to global research scholars. I hope to promote the development of global artificial intelligence (AI) research.

The Gaia Data Open Plan is a data sharing plan announced by Didi Chuan in October 2017. The daily order, departure point, destination, route planning request, positioning data, etc. are recorded on the Didi travel platform. Anonymize and encrypt data related to user privacy, ensure that relevant data cannot be restored and traced back to individuals, open to academia, allow research scholars to conduct academic research, deal with traffic problems, and find possible solutions.

According to the statistics of Drip Travel, if the daily average is calculated, the daily order on the Drip Platform exceeds 25 million, the new path data volume exceeds 70TB, the processed data exceeds 4500 TB, the path planning request exceeds 20 billion times, and the positioning data is up to 150. Billions.

The Gaia Data Open Program is further open to the global academic community. A large amount of data will be an important boost for research scholars to develop new products and systems in the AI ​​and transportation sectors. Didi Travel also expects open data to enhance public sustainability. Awareness of the solution.

Didi's travel has also previously launched data visualization analysis, depicting traffic surges in the city's entire city at peak traffic and low peaks, showing the city's traffic routes and peaks from morning to night in different images, and depicting drops The data visualization platform provides traffic management authorities with an understanding of transportation needs and plans for new transportation solutions.

According to the case presented by Drip Trip using big data and intelligent algorithms, open data can be designed with time estimation algorithm, simulation path planning, supply and demand forecasting, capacity scheduling, traffic congestion analysis, intelligent traffic sign, bus route optimization and Suggestion of departure frequency, advice on setting lanes and assessment of driving safety.