When I travel, I like to take public transportation, which is green, low-carbon and civilized. However, whenever I am stuck on the road waiting for the traffic police to direct vehicles to pass, I can't help but think, if road traffic can be automatically guided.
Therefore, when I saw Hangzhou Public Transport Cloud Technology Co., Ltd. ("Bus Cloud" for short) launched the "Transportation Data Brain" at the 2018 Public Transport Summit, focusing on the world-class problems of urban traffic ecological governance, the editor couldn't help but read more After taking a few glances, I carefully studied this cloud product that seems to be able to bring benefits to travel.
What is the Transit Data Brain?
Speaking of "transportation data brain", the first thing to mention is Alibaba Cloud's "urban data brain", because the public transportation data brain is the product of industry deepening on the basis of Alibaba Cloud's urban data brain. It is cloud computing, big data, artificial intelligence Wait for the concrete realization of the deep integration of the new generation of DT data technology and the industry.
The concept of Alibaba Cloud City Data Brain first appeared in 2016, which refers to the creation of an artificial intelligence center for a city. Among them, the core of the city brain adopts Alibaba Cloud ET artificial intelligence technology, which collects data for the entire city, conducts global real-time analysis, automatically allocates public resources, and corrects problems in the operation of the city. The ultimate goal is to evolve into a super artificial intelligence capable of governing the city. intelligent.
As an important link that closely connects people's daily production and life, public transportation urgently needs to adapt to the trend of the new generation of technology. During the Hangzhou G20 Summit in 2016, he participated in the construction of the "Urban Data Brain" for the first time, to the construction of the country's first social security system with global coverage, network sharing, full-time availability, and full controllability - "Xueliang Project", the public transport cloud is in the He has accumulated rich experience in urban data brain. This time, Transit Cloud has launched a "transit data brain" supported by cutting-edge technologies such as big data, cloud computing, and artificial intelligence, to provide solutions and paths for urban public transit resource scheduling and supply-demand balance configuration.
How does such an intelligent brain work?
Since it is a brain, it must have a reasonable operating mechanism. Generally speaking, the operation mechanism of the bus data brain is divided into four steps: "connection, online, data and intelligence".
Among them, "connection", as the perception center, supports mobile payment, and obtains various "public data, industry data, crowdsourced data and government data" through reasonable channels to achieve data aggregation; and "online" and "data" parts constitute On the one hand, it can obtain the passenger flow OD and line network speed in real time. On the other hand, iteratively plans the optimal route model, and helps to assist decision-making through data fusion innovation. Finally, the use of artificial intelligence technology makes automatic scheduling and management in the cloud. Feasible, the bus data brain has a driving center again.
Simple understanding, data collection, data aggregation, data fusion, issuing instructions, and intelligent deployment.
As for the specific implementation, it is the "cloud bus", "cloud scheduling" and "cloud management" products launched by the bus cloud this time. Among them, cloud bus supports personalized route customization, which can meet personalized and differentiated public transportation travel needs; cloud dispatching system is equipped with advanced algorithm models, which can clean and analyze in real time and intelligently process "people, vehicles, and roads" information to provide intelligent dispatching. Provide data support to improve the efficiency of bus operation; cloud management can integrate, upgrade and develop services such as bus site management, site command, and site dispatch, and provide a mobile site real-time management system for public transport departments.
In general, based on integrated mobile payment and massive data on vehicle and road conditions, Transit Cloud can assist the public transportation industry to comprehensively upgrade information infrastructure, and through algorithm models, accurately perceive and calculate urban passenger flow trends and network capacity saturation. In turn, it will provide support for accurate research and judgment to formulate scheduling plans, open up new public transportation routes, etc., and achieve a balance between the supply and demand side of public travel.
Is it an example or a capability?
At present, the brain based on urban data has achieved relatively obvious results in Hangzhou. For example, in 2016, the bus cloud explored the changes brought by the fusion calculation of signal light data, car floating point data, and road condition information in the Hangzhou pilot area. After practice, the average speed of the pilot area increased by 11%. To fully replicate the new Internet architecture and capabilities of the urban data brain, the Transit Cloud team draws on the practical experience of Shumeng Workshop and Alibaba Cloud in the national "Xue Liang Project" benchmark project - Quzhou City Data Brain V2.0. The goal is to inject new kinetic energy into the intelligent operation of the public transportation data brain and fission the new value of public travel data.
In addition, the cloud travel service of the bus cloud provides great convenience for public transportation. For example, the Hangzhou Bus App has exceeded 1.5 million users in just half a year, and the customized bus Xinxiang Bus has opened more than 100 "door-to-door" public travel lines, setting routes to meet the personalized needs of millions of passengers every day.
So the question is, is the so-called bus data brain only based on Hangzhou data for iterative optimization, so the effect is obvious, is it replicable in other places?
The answer is yes. When Transit Cloud released the bus data brain, it also introduced its partners, including Ant Financial, Alibaba Cloud, AutoNavi Maps, DreamWorks, Hangzhou Transit Group, Jinan Transit Group, etc., and Transit Cloud has become a "low-carbon travel company". member of the Alliance". In other words, the technology and data of the integrated industry are fully integrated.
It is precisely because of this that Hangzhou's innovative practice of "Internet + public transportation" has been highly recognized by the leaders of the Ministry of Communications at the National Public Transport City Promotion Conference. Up to now, this plan has moved from the Yangtze River Delta to the Beijing-Tianjin-Hebei, Pearl River Delta and western regions, accumulatively serving the public transportation departments of more than 40 cities including Jinan, Qingdao, Shenyang, Nanjing, Yinchuan, Zhuhai, Bengbu, Wenzhou, and Hangzhou Metro , Changsha Metro and other rail transit departments, provided digital construction and innovation support.
And from the perspective of on-site communication, the public transport cloud is opening up and uniting more forces, cultivating new forms of public transport, new models and new kinetic energy, and building the public transport data brain into a shared and powerful capability, providing more users with safety, reliability, comfort and convenience. , Green and energy-saving urban transportation service system.
The benefits of the bus data brain are already obvious, so the next question is, when will it come to Beijing? I am very much looking forward to it.