Beijing Uses Ali Cloud Data Technology To Measure The Location Of Clothing City

The city is an organism, a city in a day, how does the internal tide fluctuate? Where do the coming and coming vehicles come from? Where are they going? Where are the distribution centers of the freight cars, whether there is a better freight route, so as to reduce the pressure of urban pollution and traffic? This series of problems may be able to find the answer through the big data cloud computing technology.

At present, the Beijing urban planning and Design Institute is trying to use the data platform of Ali Yun Da to add a number of new ways to explore urban logistics and pportation planning.

Union cloud Kang

Studio, Beijing city planning and Design Institute is building a "logistics Hawk Eye" system based on the number plus platform, using the big data technology to study the distribution of freight vehicle distribution points.

Zhang Xiaodong, director of the Transportation Planning Institute of Beijing urban planning and Design Institute, said that using data plus platform's big data tools and related intelligent algorithms can effectively optimize or even fundamentally solve the related problems of urban logistics and distribution, such as the layout, optimization and control of urban logistics space.

Site selection, scale determination and planning guarantee for warehousing land, the design of urban logistics intelligent distribution system, and optimization of goods, routes, vehicles and manpower in the delivery process.

The city planning and Design Institute said that in the past, traffic planners generally used traditional traffic volume observation data, daily traffic congestion index and average speed data when evaluating and improving regional traffic, and then combined with regional land use situation to estimate residential population and employment and vehicle ownership.

Such a calculation method can not accurately judge the employment and attraction and traffic volume of garment wholesale, such as clothing wholesale and other special industries, and then can not support and demonstrate the effectiveness and potential impact of the regional improvement plan (such as the relocation or upgrading of the garment city).

Take the Dahongmen area in the southern Fourth Ring Road of Beijing as an example. It is located in the west of Nanyuan Road, the central axis of Beijing. The main road has two-way 8 lanes, but every morning and evening rush hour, there are serious congestion.

In addition to the large traffic volume, what other causes of congestion here? In the case study provided by the Beijing urban planning and Design Institute, we can see that the freight cars in Dahongmen's clothing city contribute little to congestion.

On the "logistics Hawkeye" cloud platform, we can clearly see that the congestion in Dahongmen area is serious before and after three p.m., and there are intensive delivery items in the area, and the intensity of logistics is also shown in red.

Now, based on the "logistics Hawk Eye" system, we can comprehensively analyze the intensity, spatial distribution and time distribution of logistics. At the same time, we integrate the data of resident population / floating population, travel time, traffic mode, normal / accidental behavior and so on, and accurately determine the induced traffic volume and travel behavior characteristics of clothing wholesale industry, which provides a strong support for solving the above problems.

It is understood that in January this year, Ali cloud released the world's first one-stop big data platform "number plus", a collection of computing engines, development kit, visualization tools and industry solutions, including Alibaba over ten years of big data technology.

The platform integrates advanced technologies such as artificial intelligence, machine learning, intelligent voice, and so on, so that organizations without sufficient technical strength can also achieve "oil" extraction from data.