As one of the most successful landing application scenarios of artificial intelligence technology, the industrial impact and social value of intelligent transportation are being paid more and more attention.
On December 28, Baidu and IDC jointly launched the white paper “intelligent carbon reduction, stimulating green transformation power – China’s artificial intelligence to help achieve the” double carbon “goal in 2021”, which was officially released and publicly launched. From now on, users can log in to Baidu ESG website to browse and download this China’s first AI focused “double carbon” goal report.
“One of the key values of intelligent transportation is to solve the problem of carbon emissions from the root through the overall scheme of ‘vehicle road travel’. It is expected that Baidu will promote urban transportation to reduce carbon emissions by 70 million tons by 2030, which is roughly equivalent to 8% of the country’s overall carbon emissions in 2020.” Shang Guobin, vice president of Baidu and general manager of Intelligent Transportation Division, said that this data echoes with the quantitative research results of intelligent transportation carbon emission reduction effect jointly carried out by Baidu and the Academy of Sciences of the Ministry of transportation.
According to the research on the benefit evaluation of Intelligent Transportation Technology for carbon emission reduction just released, based on the Baoding intelligent transportation (Baoding AI traffic management brain) project and its implementation effect, the evaluation model is proposed 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, It has been calculated that the average carbon emission reduction of each intersection is 138.6 tons / year, 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.
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. 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 he believed that with the progress of technology, intelligent transportation would make more important contributions to helping to achieve the “double carbon” goal of the country and transportation.
“Not only is it intelligent transportation, the path to 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 great potential.” Pan Jiahua, member of the academic department of the Chinese Academy of Social Sciences, deputy director of the national climate change expert committee and a famous economist, believes 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 a time lag effect. In this process, the power can not be interrupted, even for a millisecond. This requires artificial intelligence to quickly and widely identify information sources and integrate output to ensure multi complementary coordination, stability, safety and guarantee.”
(Science and technology daily)
