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News & info News

Does the Intelligence Automobile Mean a Safer Trip?

日期: 2021-10-27
浏览次数: 1

There is an unmanned car passing on the road every three minutes. The online car that citizens call is likely to be an unmanned car; The delivery man who is busy picking up orders and running on the road is not a rider, but a talking unmanned delivery vehicle... The above scene is not from a science fiction film, but is actually appearing in the intelligent transportation system demonstration line of Jiading new town.

The wave of intelligent automobile has also brought many new problems. Is it the ultimate goal of intelligent driving to let the driver 'release' the steering wheel? Will automatic driving bring new safety challenges and how to better deal with them?

In the view of many scholars, the deep collision between the Internet and the automotive industry, including the development of AI algorithms and automatic driving technology, has opened people's magnificent imagination of intelligent transportation. However, smarter cars and smarter transportation systems are always inseparable from the yardstick of 'people' - making people travel more safely is the basic purpose.

From carriage to car, there is no 'evolution' in terms of intelligence?

From carriage to automobile, the 'evolution' of transportation is certainly a strong evidence of technological progress. But from another perspective, there are still problems to be solved: in the past, Coachmans could doze off when driving carriages, because 'old horses know the way'; The car driver can't even drive for a second. Statistics show that human factors account for 80% of the causes of traffic accidents.

'From this point of view, from carriage to automobile, to some extent, it is outdated.' Yu Zhuoping, director of the collaborative innovation center of intelligent new energy vehicles of Tongji University, shared his thoughts on the development prospect of intelligent driving: with the new round of scientific and technological revolution and industrial revolution, there has been a tide of mutual empowerment and system reform of 'electrification, intelligence and sharing' in the automobile industry.

So, what is the new round goal of intelligent driving? Yu Zhuoping's answer is very vivid: it is to give cars 'long eyes, brains and hands'!

However, it is not just the car itself to make the car 'smarter'. 'Single vehicle intelligence is difficult to cover the whole road conditions and the whole climate environment. In a dynamic environment, a vehicle has considerable limitations if it wants to accurately identify the surrounding driving behavior and predict it at the same time. If it relies on AI autonomous learning, it may need to drive continuously for 400 years!' according to Yu Zhuoping, in the future, the realization of intelligent driving will be based on the establishment of vehicles, roads Cloud integrated intelligent networked digital transportation system.

The development of 5g and 6G communication technologies and the Internet of things will pave the way for rapid instant communication between roads and vehicles. 'In the future, the road is a digital road, the car is a digital car, and the 'traffic police' will be in the sky,' Yu Zhuoping said.

With the rising demand for cars and prominent traffic safety problems, how can we have both fish and bear's paws

Is the in-depth development of automotive intelligence just for 'liberating' drivers? In the view of many experts, this is just 'by the way'. The more important significance is to improve driving safety, improve travel efficiency, reduce driving time and reduce pollution emissions.

'A large number of vicious traffic accidents occur in extreme states. There are about 25 million to 27 million new drivers in China every year. If they only get their driving skills in complex environments, special scenes and extreme scenes from the real road, once there is a problem, it is a traffic accident related to life.' inspired by this, Yao Qiming, director of automobile sports and safety research center of architectural design and Research Institute of Tongji University, and his team set up Shanghai intelligent traffic safety driving engineering technology research center to specially carry out the research on driver safety driving training system. The system constructs a safe driving behavior training scene database from the three dimensions of complex environment, special environment and extreme environment, improves the driver's response to accidents, and provides data support for driverless technology in the limit state.

Another indisputable fact is that road safety is fundamentally related to cars. 'The more cars on the road, the greater the safety challenge.' according to Yu Zhuoping's analysis, China's automobile demand is far from reaching the 'ceiling'. Statistics show that the annual production and sales scale of China's automobile market is expected to exceed 40 million in 2030. In terms of per capita ownership, nearly 800 of every 1000 people in the United States have cars, nearly 600 in Japan and about 200 in China. Horizontal comparison, the number of domestic cars will continue to grow.

On the one hand, it is the rising demand for cars, on the other hand, it is the increasing attention to traffic safety - how to have both fish and bear's paws? Many experts reached a consensus: road traffic is a complex system composed of people, vehicles, roads and environment. To ensure driving safety and reduce traffic accidents, we must coordinate various elements in the traffic system and improve the overall harmony of the road traffic system. Among them, an important aspect is people-oriented road planning and design.

'A safer environment needs to be supported by building a more intelligent road system and building a more people-oriented road network structure.' Chen Xiaohong, President of the Institute of railway and urban rail transit of Tongji University and director of the national Maglev Traffic Engineering Technology Research Center, suggested that by increasing the density of road networks and intersections and giving more priority to green transportation modes, Objectively reduce road conflict. 'We expect that the problem of road traffic safety starts with the intellectualization of vehicles and will finally be the intellectualization of vehicles and roads.'


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