Recently, the Ministry of transport issued the 14th five year plan for the development of digital transportation (hereinafter referred to as the plan). The plan points out that it is necessary to "promote the application of big data, artificial intelligence, blockchain and other technology industries to tackle key problems" and "promote the digital transformation and intelligent upgrading of transportation infrastructure". The industrial impact and social value of the development of intelligent transportation are receiving increasing attention and attention. On December 29, at the "green double carbon" forum of Baidu AI Developers Conference 2021, the white paper on Intelligent carbon reduction and stimulating green transformation power - China's artificial intelligence helping to achieve the "double carbon" goal in 2021, jointly launched by Baidu and IDC, was officially released and publicly launched. From now on, Users can log in to Baidu ESG website (ESG. Baidu. Com) to browse and download the first AI focused "double carbon" in China Target report. Robin Li, founder, chairman and chief executive of Baidu, said in his opening speech that Baidu is taking advantage of AI technology to promote the optimal solution of the whole chain of intelligent transportation system through the promotion of automatic driving and vehicle road coordination. In the future, we will work with ecological partners to firmly invest resources and help "zero carbon growth" with AI. Shang Guobin, vice president of Baidu and general manager of Intelligent Transportation Division, analyzed in his subsequent keynote speech that one of the key values of intelligent transportation is to solve the problem of carbon emission from the root through the overall scheme of "vehicle road travel", and it is expected that Baidu will promote urban transportation to reduce 70 million tons of carbon emission by 2030. This volume is roughly equivalent to 8% of the country's overall carbon emissions in 2020. Shang Guobin's prediction also echoes with the quantitative research results on the carbon emission reduction effect of intelligent transportation jointly carried out by Baidu and the Academy of Sciences of the Ministry of communications. At the "green double carbon" forum, The evaluation study on the benefits of Intelligent Transportation Technology in carbon emission reduction (hereinafter referred to as the evaluation study) publicly disclosed the research progress for the first time. The evaluation study is based on the intelligent transportation in Baoding city (Baoding AI traffic control brain) project and its implementation effect, by identifying the key influencing factors such as roads, vehicles, congestion and emission intensity, and modeling and simulating the data such as vehicle queuing, intersection phase and intersection traffic efficiency, the evaluation model is proposed, and it can be refined and calculated that the average carbon emission reduction of each intersection is 138.6 T / A, and the emission reduction rate is 20% ~ 30%. This is an innovative exploration in the accounting of intelligent transportation to help achieve carbon emission reduction. In this regard, Li Zhenyu, director of the policy standard office of the urban transportation and rail transit research center of the Academy of Sciences of the Ministry of transport, said, "At present, China's urban transportation is accelerating the transformation and development. Intelligent transportation technologies such as intelligent information control system will have broader application prospects. We also need to carry out more relevant research to confirm the effect of carbon emission reduction. We believe that intelligent transportation technology will make more important contributions to helping to achieve the dual carbon goal of the country and transportation." It is not only intelligent transportation, but also the path to realize carbon neutralization must be a process of technology intensive use. The technological breakthrough of artificial intelligence will be applied to various industries through information and communication technology infrastructure, and combined with carbon reduction technologies and applications in various industries to play a huge potential. At the "green double carbon" forum, Pan Jiahua, member of the academic department of the Chinese Academy of Social Sciences, deputy director of the national climate change expert committee and famous economist, believed that artificial intelligence can improve the market competitiveness of new energy and the security of energy production and supply. Pan Jiahua pointed out that replacing fossil energy with new energy is the general trend to deal with global climate change. At present, the intermittent problem of new energy supply can be solved by reasonably allocating wind energy, light energy and water energy, including biomass energy and energy storage. However, if such allocation depends on manual judgment, it will produce time lag effect. In this process, the power cannot be interrupted, even for a millisecond. This requires artificial intelligence to quickly and widely identify information sources, integrate and output, and ensure the coordination, stability, security and guarantee of multi energy complementarity. (Xinhua News Agency)