Potential value of intelligent transportation to be discovered

All along, China has placed great emphasis on the construction of intelligent transportation, and the potential of the intelligent transportation market is also enormous. With the arrival of the era of big data, intelligent transportation will inevitably produce some major changes, and will also face important opportunities for development.

Before the Eastern Star passenger liner overturned on the Jianli Section of the Yangtze River and Hubei Province, the final route monitoring line and status information came from a platform called Bao Ship. Through the treasure boat network, the Oriental Star was observed from the start to the scene of the accident, until the final 9:31:21.

Since the development of intelligent transportation, there have been a lot of data collected all over the world. These data have huge potential and value and need to be urgently handled and discovered. With the arrival of the era of big data, intelligent transportation may really be "smart."

However, while big data supports the advancement of intelligent transportation, its development is inevitably arduous.

Giving urban traffic a hope for big data and the development of cloud computing is not only a challenge to the transportation industry, but also a breakthrough to the traditional model. "Now there are a lot of panic attacks, quick and easy access to cars, but perhaps this panic will force some unreasonable changes," said Yang Dongyuan, vice president of Tongji University.

For example, you can see daily traffic conditions in various cities across the country, including vehicle traffic conditions, road network conditions, and taxi demand conditions.

“We can clearly see the distribution of vehicles within 24 hours in Beijing.” It is generally believed that the peak section between 6am and 8am every morning in Beijing is a three-ring and a four-ring, but a drip-and-quick taxi technique Zhu Jun, vice president, introduced the data shows that the airport expressway is the peak section; at 1pm, what is the best place for taxi drivers? Statistics show that it is a financial street, where many people are rushing to the airport every day. "These revenues are based on the big data platform."

Diverting cars using the big data platform to better allocate and make rational use of existing resources can only solve part of the problem. Only by mastering the overall situation can we control the overall situation.

“The emergence of big data has finally given the city a hope.” Yang Dongyuan said that big data can continuously observe the daily changes in urban traffic, and then use these data to analyze the problems of traffic.

"Urban transportation is not like western medicine, and there are specific problems in remedying the disease." Yang Dongyuan made an analogy, "but more like Chinese medicine, must take the pulse of inquiry, rooted to the bottom, in order to find the cause of the symptoms."

Yang Dongyuan frankly stated that in the face of the city's "blocking disease," the government must learn to "take the pulse," or else it will be impossible to prescribe a "prescription" for conditioning and curing.

In the past, the governance of traffic relied heavily on investigative techniques. For example, a five-year traffic survey in Shanghai will not only cost as much as 80 million yuan, but it will take more than six months to process data. It is difficult to keep up with the pace of urban changes.

"The problem of intelligent transportation is very complicated." Yang Dongyuan said that big data is not only an opportunity for change and opportunity but also a challenging stage for urban transportation.

Shenzhen has done a few simple things in recent years. Its intelligent transportation construction is to create a comprehensive transportation system integrating sea, land and air. Perhaps the case of Shenzhen is worth learning from.

Shenzhen Shenzhen, which has been leading the way for 30 years of reform and opening up, has taken the lead in China to achieve two major transformations. The first transformation is the large-scale planning, construction of infrastructure, the implementation of high-quality operations and services for the entire city based on the big data environment, and the second transformation is the shift from past static discrete data environments to today's real-time dynamic big data. surroundings.

These two major transformations have played a crucial role in today’s urban management and urban services, especially in terms of government’s decision-making support for the entire city.

“In the cloud computing and big data environment, the intelligent and information-based construction of the entire city traffic should be viewed from the perspectives of urban traffic monitoring, modeling, and simulation,” said Guan Zhichao, director of the Shenzhen Traffic Control and Simulation Engineering Center.

It is understood that Shenzhen set up a traffic data center in 2011. The center's functional orientation is not only to realize the functions of the data center, analysis and research center, visualization center, and distribution center, but also to take into account the government's functions and related laws and monitoring models of the city's traffic.

Up to now, the center has obtained 13 million card data, including the passenger flow situation that was released once a minute by the subway.

In the era of big data, if you want to manage the operation of the entire city, you must not only consider the traffic problems, but also consider the impact of weather, the emission of traffic pollution, and the construction of municipal roads and pipes throughout the city.

“So, Shenzhen has been building an integrated model system.” Guan Zhichao said that in the face of big data, how to achieve the calibration and migration of urban, regional and macro model systems at the macro level of the city is indeed the key work to be considered.

Guan Zhichao said that the establishment of a series of model systems such as population distribution, land use, and travel speed distribution provided data support for urban management and government decision-making. They subdivided Luohu District into 2864 traffic communities and established series of models from the macro, meso, and microscopic levels as an analytical study that supports the entire city's transportation services and transportation problems.

Shenzhen proposed the idea of ​​building a future traffic laboratory. Under such a big promotion model, China’s comprehensive traffic command center will serve as the data base environment for future open labs, and a number of scientific research institutions will jointly promote the development of the traffic future laboratory. The transportation resources are oriented towards the city and socially oriented public welfare.

In addition, Shenzhen has the largest simulation environment in the country. The establishment of traffic simulation has continuously optimized the urban rail transit model system and provided effective technical support and guarantee for the monitoring and service of the urban traffic index.

Technological innovation has forced management to change Big data seems to have swept the world overnight. It has both declared the arrival of an era and has clearly become a symbol of the times.

But "big data is not custom data, often indirect evidence." Yang Dongyuan said that the judgment of indirect evidence in certain areas is established, and certainly not correct in some areas, and it cannot directly become the basis for decision-making.

"Furthermore, it is the data cleaning and correct judgment, because a large amount of data is often wrong." Yang Dongyuan cited an example: R & D institutions claimed that the license read rate was 95% to 98%, but after data discovery, In fact, fewer than 60,000 Shanghai taxis have been read, but the number of vehicles has doubled in magnitude - the original "z" and "2" were indistinct. However, "the biggest difficulty in the application of big data traffic is not the technology, but the manager's determination to change." Yang Dongyuan frankly said that the value of big data is to allow us to better "take the pulse", "help us find that we do not know, and Not verified already known."

From the perspective of urban transport, how the government uses big data to control the entire city's traffic is an issue that needs urgent solution.

“In the off-peak period, why people do not choose to travel by bus? An important reason is that there are no timetables.” Yang Dongyuan frankly stated that the public’s so-called bus travel time actually counts invalid reservations. In addition to allowing buses to run faster, the question of whether it is possible to reduce invalid reservations remains to be solved.

According to the analysis of scientific research personnel, the potential value of intelligent transportation has not been effectively explored, and the perception and collection of traffic information is limited. The massive data existing in various management systems cannot be shared, used, analyzed effectively, and the prediction of traffic situation is weak. It is difficult for the public traffic information service to meet the demand. This will cause the inefficiency of intelligent transportation and the insufficient degree of intelligence. As a result, many advanced technology and equipments will not be able to play their due role, and it will also result in a huge amount of capital wasted on investment.

It can be seen that traffic big data is just a series of charts and tables. Traffic engineers are only staff officers and the government is the decision maker. Big data and management If you can't go hand in hand, intelligence can only spin in the cloud.