Artificial intelligence changes traditional driving behavior and takes the first step of intelligent transportation

“Artificial Intelligence + Transportation” has become a trend of future transportation. In the process of smart city construction and intelligent traffic improvement, the application of big data and artificial intelligence technology attempts to solve the urban congestion problem. The biggest problem in the construction of a smart city is transportation. The most intuitive way for ordinary people to feel is transportation. Therefore, intelligent transportation is the vanguard of developing a smart city.

At the 19th Hi-Tech Fair, Shangtang Technology, which is engaged in the research and development of computer vision technology, showed the latest driving monitoring and early warning system: In the future, the camera embedded with the face recognition algorithm can read and analyze the driver's facial expression in real time, once the driver is tired. The extent of the situation exceeds a reasonable range, and the system will issue an early warning signal to alert the driver to safety.

Fatigue driving will trigger an early warning system, set the route to the car to be unmanned, traffic lights can be adjusted according to traffic flow, artificial intelligence is changing the traditional driving behavior. The 19th China International Hi-Tech Fair was held in Shenzhen on the 21st. At this high-tech fair, the deep integration of artificial intelligence and urban traffic attracted the attention of visitors: the realization of driverless, smart traffic is away from us. how far?

You may have seen a scene where the driver yawns and then yawns, slumbering like "chicken glutinous rice", and the eyelids are getting heavier and harder until they are difficult to open. In major cities, fatigue driving is one of the important causes of traffic accidents. Now, the application of artificial intelligence in the field of driving may reduce the threat of driver fatigue to road traffic safety.

At this high-tech fair, Shangtang Technology, which is engaged in the research and development of computer vision technology, has demonstrated the latest driving monitoring and early warning system: In the future, the camera embedded with the face recognition algorithm can read and analyze the driver's facial expression in real time, once the driver is tired. If the degree exceeds a reasonable range, the system will issue an early warning signal to alert the driver to safety.

Not far from the Shangtang Technology booth, a car loaded with an unmanned system attracted many visitors. In the first half of 2017, Yan Xianqiao resigned from the United States and returned to Shenzhen to start a business. He pushed the driverless system developed by himself and his two friends to the domestic market. Yan Xianqiao said that their driverless system has been tested on the ground using domestic sensors and self-developed core algorithms. “Before the road test in Silicon Valley, our car was driving on the road with normal traffic for about 30 minutes, all the way is safe,” he said.

At the 2017 Baidu World Congress held recently, Baidu Chairman Li Yanhong said that it is expected that in July 2018, Baidu and Jinlong Bus will produce mass-produced minibuses. In addition, Baidu will also launch more unmanned vehicles with automakers such as JAC and BAIC.

Artificial intelligence is changing the traditional driving behavior and will also bring a whole set of urban intelligent transportation systems. In Hangzhou, artificial intelligence has begun to be applied to urban overall traffic management.

In October 2016, Alibaba Cloud launched the pilot of the “Urban Brain” program. The pilot uses the Internet as an infrastructure and utilizes abundant urban data resources to conduct an overall real-time analysis of the city, effectively deploying public resources and promoting sustainable urban development.

At the forum held by the high-tech fair, Wang Jian, chairman of Alibaba Group Technical Committee, introduced the operation of “urban brain”: In Hangzhou, “urban brain” uses cameras to analyze real-time traffic flow, so that traffic lights can be made according to real-time traffic. Adjust, optimize the time allocation of intersections and improve traffic efficiency.

The data shows that after the implementation of the “urban brain” in Hangzhou, the average driving speed during the peak period of the pilot area increased by 15%, and the average regional congestion time decreased by 9.2%. Xiaoshan District of Hangzhou City has also realized the priority dispatch of special vehicles such as 120 ambulances. Through the “green line” of the “green brain” customized by the “urban brain”, the time for the ambulance to arrive at the scene is nearly half shorter than the original.

For congestion, violations, accidents, etc., the “urban brain” can also replace artificial real-time discovery and trigger mechanisms for intelligent processing. In the main urban area of ​​Hangzhou, the “city brain” daily average number of alarms reached more than 500 times, with an accuracy rate of 92%.

Peng Jian, chief architect of the company's research and development of driverless technology, said: "Artificial intelligence is bringing urban traffic into a new era of more efficient and safer."

At present, "artificial intelligence + transportation" has become a hot spot in the capital market. According to the report from Tencent Research Institute, in China's artificial intelligence enterprises, the total amount of financing for assisted driving and automatic driving ranked third, reaching 10.7 billion yuan, second only to computer vision images and natural speech processing. According to the analysis of the report, since there are only 31 enterprises in the field of assisted driving and automatic driving in China, they have the third-largest financing amount, which means that investors are very optimistic about this field.

The confidence of investors comes from the unique advantages of our country. Peng said that China's major cities have rich traffic scenes and massive traffic data, which provides unique conditions for the training of unmanned algorithms.

However, the deep integration of artificial intelligence and transportation still has difficulties. Peng said that driverless is the core scene of artificial intelligence application in the transportation field. It is actually a comprehensive problem involving the overall traffic operation of the city, including environmental awareness, intelligent decision-making and planning, intelligent control and other fields. It will take time to make breakthroughs in related fields.

Zhang Yang, product manager of the car networking business center of Shenzhen Suo Ling Industrial Co., Ltd. said that in order to realize smart transportation, in addition to unmanned driving, it is also necessary to solve the communication problem between the car and the car, the car and the cloud.

"In the future, we will use sensors, high-definition cameras, lidars and other tools to collect real-time information on road infrastructure, traffic lights and vehicles. The algorithm will combine this information to make the right instructions," he said.

A new round of exploration has begun. Recently, the Ministry of Science and Technology decided to rely on Baidu to build a new generation of artificial intelligence open innovation platform for automatic driving, and the work of the new generation of artificial intelligence open innovation platform of “Urban Brain” will be undertaken by Alibaba Cloud.

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