When you drive, the construction area is undoubtedly an annoying existence. When you drive a self-driving car, the danger of the construction area is not only annoying you. When you are not careful, it becomes a source of disaster. Entering the highway construction area, you will find yourself entering a world outside the traffic rules: a conical roadblock replaces the double yellow line, a signal beside the scaffold replaces the traffic light, and a temporary sign replaces the traffic sign. All traffic rules don't seem to be in its eyes. This is why autopilot giants such as Google and Delphi often send human engineers to test self-driving cars: when it comes to construction areas, humans have better processing power than computer systems. This is the most critical challenge facing autopilot: These construction zones are outside the rules of the road. How do we teach autopilot cars to handle these special roads? Some companies have promised to commercialize autonomous driving technology within five years. How can this technology be matured in a short period of time? Without addressing this challenge, autonomous driving technology will be difficult to mature. Road resistance and long road conditions are flexible and change with the construction content. The signals used by workers filling the drains on the Philadelphia Highway are not the same as those used by workers who make up the gaps on the California 405 Highway, but engineers always hope that human drivers can correctly understand and handle these changes. Perhaps for humans, it is not difficult to read changeable signs, identify shiny arrows, and see the workers in overalls, but not for computers. Jerry Ullman is an engineer at the Texas A&M Transportation Department in the United States. He is responsible for the study of the construction area. He stated that: The construction area is very changeable and in many cases it is quite complicated. Therefore, it is difficult for us to write down a few lines of code to tell the car "you should do this when you see this situation." An inadvertent gesture from the construction worker can also confuse the autopilot system and allow it to crash into a dump truck. What's worse is that the state and local transportation departments have not taken the necessary actions. Most states do not describe the database of the construction area in real time. The construction company usually starts or ends a certain period of construction without any prior notification to the driver. Therefore, in the face of these intricate and complex situations, the driver can usually make a correct judgment, but when the computer encounters, it can be said to be a look of embarrassment. How to solve However, this problem does not disturb the semi-autonomous driving system: In this situation, the human driver can make a judgment instead of the computer system. But if the goal of self-driving car makers is to sell cars to people who can't drive, or to use cars for automated transportation services, then they can't rely on human judgment. In this way, the problem becomes very tricky. Fortunately, there are a group of smart people who are up front and working hard to study. Now there have been some achievements. Earlier this year, Nissan said it did not expect its self-driving cars to automatically handle any situation (Nissan was also the first giant to make this remark). Therefore, Nissan plans to hire employees to remotely guide autonomous vehicles in the control center to handle some complicated situations, and the construction area should be included. Nissan said it will use the in-vehicle sensors and camera to guide the vehicle. Maarten Sierhuis, head of the Nissan Silicon Valley Research Department, said in an interview with foreign media WIRED in December last year that we will always need humans to make decisions. Autopilot encounters construction roads: look aggressive 
The other method is not so dependent on humans. In the past few decades, the US Department of Transportation has been devoting itself to the development of automotive communication capabilities: through the installation of broadcast lights on roads and the installation of "AC" equipment in vehicles, it has given automobiles, vehicles, and vehicles and infrastructure. The ability to communicate. In this way, any self-driving car can tell another auto-driving car that can communicate with itself that there is a construction area on the road in front of it, and can tell it how safe it is to walk. The U.S. Highway Safety Administration plans to install this "AC" equipment for all new vehicles by 2020. However, only the transportation sector and car manufacturers can take action. Only the system can resist the attacks of hackers. Only when the decision makers decide what information the car really needs to convey can this plan be realized. In addition, other issues have yet to be resolved. Steven Shladover, a traffic engineer at the University of California, Berkeley, said: How can cars explain the exact location of the construction area to another vehicle? When it is found that there is a construction area in front of it, does it need to give the vehicle a suggested speed, or just say "a construction area in front of it?" How does it tell the object that the vehicle has been blocked, is it telling it to be blocked by a one-way street or an emergency parking zone? These are problems that are urgently needed to be solved. Of course, there is another option: let the car directly avoid the construction area. This depends on the actions of the relevant departments. If the relevant government departments and private companies can propose a reliable method of recording the construction area in real time, the car manufacturer can update the navigation system in real time, thus changing the route and avoiding obstacles. At first glance, engineers still have a long time to study the solution, because even optimistically estimates that the era of the autopilot will come in the 2030s. But, after all, what we are talking about now is the cliché problem of infrastructure (it can be said that the United States has been talking about this issue for 10 years). Therefore, it is time to act and optimize the infrastructure.
The other method is not so dependent on humans. In the past few decades, the US Department of Transportation has been devoting itself to the development of automotive communication capabilities: through the installation of broadcast lights on roads and the installation of "AC" equipment in vehicles, it has given automobiles, vehicles, and vehicles and infrastructure. The ability to communicate. In this way, any self-driving car can tell another auto-driving car that can communicate with itself that there is a construction area on the road in front of it, and can tell it how safe it is to walk. The U.S. Highway Safety Administration plans to install this "AC" equipment for all new vehicles by 2020. However, only the transportation sector and car manufacturers can take action. Only the system can resist the attacks of hackers. Only when the decision makers decide what information the car really needs to convey can this plan be realized. In addition, other issues have yet to be resolved. Steven Shladover, a traffic engineer at the University of California, Berkeley, said: How can cars explain the exact location of the construction area to another vehicle? When it is found that there is a construction area in front of it, does it need to give the vehicle a suggested speed, or just say "a construction area in front of it?" How does it tell the object that the vehicle has been blocked, is it telling it to be blocked by a one-way street or an emergency parking zone? These are problems that are urgently needed to be solved. Of course, there is another option: let the car directly avoid the construction area. This depends on the actions of the relevant departments. If the relevant government departments and private companies can propose a reliable method of recording the construction area in real time, the car manufacturer can update the navigation system in real time, thus changing the route and avoiding obstacles. At first glance, engineers still have a long time to study the solution, because even optimistically estimates that the era of the autopilot will come in the 2030s. But, after all, what we are talking about now is the cliché problem of infrastructure (it can be said that the United States has been talking about this issue for 10 years). Therefore, it is time to act and optimize the infrastructure.
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