Autonavi Maps has launched a "smart cone bucket" that applies the Internet of Things transformation. After connecting to its map app data platform, it can realize real-time collection and release of information such as road construction, accidents and closure controls, and improve user travel efficiency and safety. The picture shows that in January this year, a road construction information released by a "smart cone bucket" set in the Dinghu rest area of Guangfo Zhao Expressway has been uploaded to the map app. Photo by Liu Dawei, a reporter from Xinhua News Agency
Have you seen the "brain" of road traffic? What kind of scenario does the future of smart travel look like? In fact, before we know it, the "brain" of traffic has already been "bravely leading the beam" between the endless roads, empowering a more technological way of travel.
In recent years, new technologies such as "Internet +", intelligent networking, big data, and artificial intelligence have been continuously applied in the field of road transportation, integrating more and more deeply into people’s lives, and constantly meeting people’s new expectations for safe, convenient, and high-quality travel. At the same time, "black technology" has gradually been applied, innovating and enriching the new connotation of "smart transportation", which also echoes the deep-seated needs of cities to improve their comprehensive transportation management capabilities.
Recently, under the guidance of the Traffic Administration of the Ministry of Public Security, the "2019 Internet + Urban Traffic Management Innovation Forum" jointly sponsored by the China Road Traffic Safety Association and Autonavi Map was held in Hefei. Experts in the field, public security traffic management departments, universities and scientific research institutions, and representatives of related industries and enterprises from all over the country gathered together to share innovative services and technological achievements in the transportation industry, and make suggestions for the comprehensive realization of intelligent transportation. It also showed a vivid and colorful future travel picture.
"Black technology" escorts road safety
The data shows that with the in-depth implementation of China’s transportation power strategy, the transportation industry has developed rapidly, and the road for people and vehicles has continued to grow at a high speed. As of the end of June this year, the number of motor vehicles in the country has reached 340 million, of which 250 million cars, 66 cities in the country have more than 1 million cars, 29 cities have more than 2 million cars, and 11 cities such as Beijing and Chengdu have more than 3 million cars. Under the rapid growth, it also puts forward higher requirements on how to apply big data and serve traffic control.
car recognition
According to Sun Zhengliang, party secretary of the Traffic Management Science Research Institute of the Ministry of Public Security, in recent years, the construction of the highway traffic safety prevention and control system has continued to advance, and the network of bayonets, video and law enforcement forensics equipment has been connected to the public security traffic integrated command platform. It is expected that traffic surveillance video will be "networked nationwide" by the end of this year.
At the same time, 25 kinds of illegal analysis models and vehicle characteristics database were established to screen all kinds of illegal acts from the traffic trajectory data. The successful application of the integrated command platform has also made the deck car invisible. By labeling the vehicle "portrait", the integrated command platform can analyze 470 billion track data, screen out more than 120,000 suspected fake deck cars, and re-screen those with higher frequency. After the data is synchronized with provinces and cities, the fake deck is locked through cross-regional spatiotemporal analysis.
Face recognition
Not only is it "recognizing the car", but through facial recognition technology, the platform can also accurately detect relevant license-related violations in real time, and accurately "recognize the face". License-related violations are mostly divided into three categories: driving without a license, losing driving (Note: traffic violations in which drivers still drive motor vehicles on the road after losing their driving qualifications, such as "drunk driving" revoking their driver’s license, "drug driving" canceling their driver’s license, "super score" not learning, overdue inspection, etc.) and permitted driving do not match. In fact, it is far from enough for such personnel to enforce the law through the traffic police. It is very difficult. The application of facial recognition technology can use data comparison, analysis and judgment to systematically warn and deal with the behavior of lost drivers on the road.
Mobile navigation becomes a traveler’s "all-round guide"
The development of "smart +" travel and the improvement of travel efficiency with "seamless" travel services will reduce the average travel time and layered travel mode, and use the traffic design foundation and transportation tools to drive the travel industry into the stage of intelligent transportation development. Liu Zhenfei, partner of Alibaba and president of Autonavi Maps, said that the management and service travel mode with mobile navigation applications as the breakthrough point will open up all levels, allowing travelers to receive comprehensive and efficient services "before the trip", "during the trip" and "after the trip".
The era of smart travel is coming, and mobile navigation can play a role far more than just "guiding the way". It is transforming into an inseparable "all-round guide" for travelers.
Protect safety
"There are tens of thousands of roads, and safety comes first." Dynamic traffic incident voice prompts are the link between managers and travelers. Mobile navigation receives dynamic traffic cloud information in real time and prompts travelers at any time. Through the application of the "smart cone bucket" after the transformation of the Internet of Things, road construction information can be uploaded to the map app, connected to the data platform to realize real-time collection and release of road construction, accidents and closed control information, and set up safety barriers. With the appearance of the "smart cone bucket", the secondary accident rate of Shanghai-Nanjing Expressway alone has been reduced by 34%.
improve efficiency
Taking Autonavi maps as an example, according to the analysis results of KPMG and the National Research Institute of Economics, mobile navigation applications save users at least 1.90 billion hours of congestion time, greatly improving traffic efficiency and fuel efficiency. And like the "multi-directional real-time road conditions" first launched in the industry last November, it realizes lane-level navigation at intersections and guides vehicles at intersections more accurately.
guard the environment
"By gradually launching’real-time public transportation ‘and other green travel navigation, we are transforming into a mobile navigation application for multi-mode green travel." According to Liu Zhenfei, in the past year, more than 37% of users have adopted green travel mode, and the proportion of green travel sharing has even exceeded that of cities with perfect public transportation services, such as Toronto, Canada, and Brisbane, Australia. "In the past few years, by improving our technical capabilities, we have not only made map navigation tools, but also hoped to provide a large number of new products and services for green travel in the whole city. We have launched’smart bus stations’, covering more than 10 cities. Travelers can effectively plan travel time through vehicle information inquiry, and public travel will become more and more convenient." Liu Zhenfei said.
Drawing alluring future travel scenarios
In July this year, the Ministry of Transport officially issued the "Digital Transportation Development Plan Outline", proposing to build a digital collection system, a networked transmission system and an intelligent application system with the "data link" as the main line, and accelerate the development of transportation informatization to digitalization, networking and intelligence, providing support for the construction of a transportation power.
City CT
Congestion, excessive resource consumption, traffic accidents… How to solve the urban traffic problem? At the forum site, the Autonavi map mirror system was officially launched. In the opinion of Dong Zhenning, vice president of Autonavi maps, the "mirror" that realizes intelligent analysis, evaluation and diagnosis of urban traffic based on AI and big data is like the "CT" of the city. It scans the factors affecting urban traffic in multiple dimensions, provides the "medical report" of urban traffic operation, and analyzes the reasons, so as to provide the basis for accurate and comprehensive policies.
After obtaining the "diagnosis result", the next step is to focus on realizing the information coordination of people, cars and roads and establishing a service model that quickly reaches users. In Wuhan, Autonavi maps have been coordinated with the information of signal lights. In addition, when congestion, accidents and other situations occur, video AI recognition technology can judge the perceived road conditions in the first time, and realize zero-hour diversion guidance through intermediaries such as apps, in-car navigation, and smart guidance screens.
One-stop, full chain
"One-stop" and "full chain" are undoubtedly the direction of change in future travel services. Qiu Hongtong, a researcher at the Institute of Traffic Management Science of the Ministry of Public Security, believes that the new demand for travel can be explained from three aspects: managers, service providers, and travelers. Managers can use big data tools to correctly guide travel services and better supervise new business models; service providers have the ability to provide reservation-based and customized services; travelers can better adapt to and enjoy the continuous changes in travel methods.
Open data, policy guidance, technical support and effective supervision. In the process of achieving the goal of future smart travel, there are still several key issues to be solved. Liu Zhenfei said that in the future, "smart +" travel will be further promoted in four aspects: automation, electrification, networking and sharing, deepen cooperation among enterprises, and deepen innovation in basic applications.
"Start with travel, integrate with life", the process of intelligent upgrade of the platform is also a process of open resource sharing and data integration. Only by working hard to get out of the "data island" can the digital dividend better benefit everyone.
(Reporter, Sun Yahui)