Application of artificial intelligence in transportation

1, Alleviating traffic congestion

One of the core issues in current urban traffic governance is how to Ease traffic congestion. Using artificial intelligence algorithms to adjust traffic lights is a strategy that major Internet and IT companies have begun to try to alleviate congestion problems in the past two years, and they have built pilot projects in first-tier cities, and ultimately achieved good results. The AI ​​algorithm is used to monitor and display the intersection operation efficiency in real time, thereby optimizing the signal light timing. It mainly targets two phenomena, one is the imbalance of intersection operation, and the other is exit overflow. When an intersection is very congested in one direction but runs smoothly in other directions, it is called an intersection imbalance. In this case, the signal timing in the congested direction can be appropriately increased and the timing in the smooth direction can be reduced to alleviate the congestion at the intersection. For seriously unbalanced intersections, the system will sound an alarm to remind traffic controllers to pay attention and take next steps. Exit overflow warning monitors exit congestion and sorts and displays intersections with high overflow potential, so that traffic control and intervention can be implemented in a timely manner to avoid intersection paralysis caused by overflow.

The artificial intelligence traffic light system is also a product of the application of artificial intelligence in the field of intelligent transportation. It can reset the traffic light time and identify the traffic conditions on site in real time based on the statistical results of the number of vehicles and pedestrians. The system generally consists of a video collection, analysis, storage and uploading system, gate, controller, display screen, voice broadcast and front-end computer, etc. It can realize voice broadcast, delayed shutdown, detection control, face recognition and snapshot alarm functions. To put it simply, artificial intelligence is used to identify and analyze the movement information of moving objects such as vehicles and people, and infer the traffic conditions to further adjust the release time of vehicles and pedestrians.

2, Intelligent navigation and driverless driving

Autonomous driving is a hot issue at present, and its basis It is an intelligent navigation system that can effectively provide optimal routes for vehicles to avoid congested road sections and effectively increase traffic speed in all aspects. Applying road recognition technology to driving vehicles can effectively meet the requirements of driverless driving and comprehensively improve people's travel efficiency. Intelligent navigation with the help of smart maps is conducive to achieving the best driving direction and can be based on actual road conditions. Optimize car driving.

3, Road maintenance

The demand for road maintenance in our country is increasing rapidly In terms of the growth trend, due to the long-standing concept of "reconstruction and light maintenance", a large number of roads built in the early stage have gradually entered the stage of reconstruction, expansion and major and medium-sized repairs.

With the rapid iteration and progress of artificial intelligence algorithms, attempts and research on the application of artificial intelligence algorithms in pavement disease identification have gradually increased. At present, there are relatively few intelligent road inspection products that have been successfully applied on the market. They mainly come from companies such as Shanghai Intelligent Transportation, COSCO Shipping, and Carlo. Companies in this area that are still in the research and development process include SenseTime, Tencent and other major companies. Most of the company's products are based on front-end visual sensing equipment, edge processing equipment and artificial intelligence algorithms to collect, transmit and identify road defects, and finally present the results on a web platform or mobile platform.

4, Smart parking

In addition to congestion, parking Difficult issues have also attracted much attention, which has also led to the continued clamor for smart parking in recent years. Therefore, artificial intelligence is also quietly subverting smart travel. Most driving time in our country is spent either in traffic jams or looking for a parking space.

Sensorless parking based on artificial intelligence not only changes the traditional parking model, but also completely revolutionizes the concept of traffic management. Many cities are increasingly realizing that to alleviate the contradiction between parking supply and demand, it is not enough to add new parking spaces alone. First, land resources are tight, and second, the construction cycle is too long. The correct way to achieve dynamic balance is to use smart parking technologies such as artificial intelligence, the Internet of Things, big data, and cloud computing to revitalize and improve the utilization and turnover rate of existing parking spaces. ideas.

5, Electronic Police

## Traffic management is one of the earliest fields of technology application , such as the "electronic police" we are familiar with, which began to be used as early as 1997. Now, "electronic police" law enforcement (off-site law enforcement) has been fully popularized and has become one of the important means to assist traffic police in law enforcement.

The early "electronic police" had a single function. They mainly captured illegal photos on urban roads, intersections and other areas. The image quality and intelligence level were very low. The coverage range was generally about 30 meters. The requirements The speed of the vehicle is also relatively low, and it is basically difficult to capture traffic violations at high speeds.

#After several iterations and upgrades, the application of my country’s “electronic police” system has gradually matured. The front-end of the "electronic police" system commonly seen in the market mainly consists of bayonet, electric police, illegal parking and shooting ball machines, etc.

The system uses AI front-end collection equipment to capture uncivilized traffic behaviors, such as motor vehicles running red lights, speeding, changing lanes in traffic jams, parking at will, crossing prohibited lines, and illegal traffic. Driving according to regulations; drivers not wearing seat belts, talking on mobile phones while driving; non-motorized vehicles entering motor vehicle lanes, running red lights, going in the wrong direction; pedestrians running red lights and other illegal behaviors.

AI electronic police front-end camera uses deep learning and machine vision to realize the analysis and judgment of traffic violations, and can identify vehicles and faces. The data is stored, and dozens of illegal behaviors can be analyzed and evidence collected through big data and artificial intelligence algorithm technology, thereby completing the research, judgment and evidence collection of traffic violations.

# In addition, it can also achieve precise traffic management of key people and vehicles. Relatively speaking, AI electronic police are more accurate than human judgment and have a lower error rate.

The highest "realm" of smart transportation is the coordination of people, vehicles, and roads. At present, the coordination of people, vehicles, and roads in our country is not sufficient, and AI is urgently needed. , 5G and other advanced technologies.

Future transportation informatization is all-round, full coverage, and the whole process. People, vehicles, and roads will be highly informatized and coordinated, not only travel efficiency The level of transportation safety will also be greatly improved.

The implementation of the "Transportation Power" strategy and the integration and application of various advanced technologies will promote the overall acceleration of the development of my country's smart transportation industry. Therefore, the application prospects of AI in the field of smart transportation are very broad.

#For AI, the future smart transportation market will be a fertile land where even a chopstick will sprout.

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