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Intelligent Transportation Makes Internet of Things More Close to the Masses
In the area of ​​intelligent transportation, it is effectively integrated into the entire ground traffic management system through advanced information technologies, data communication and transmission technologies, electronic sensing technologies, control technologies, and computer technologies. Effective, real-time, accurate and efficient integrated transportation management system.
Through the intelligent algorithm's background operations, real-time monitoring of road conditions is realized. If a road accident occurs in front of the road, the intelligent network camera can analyze the video screen, link the back-end platform to send out alarms, and deploy the police force in advance to steer the road; A face recognition system is added to capture the face information of people passing through the intersection in real time, and then the interpupillary distance calculation is compared with the information in the face database of the public security, and a large amount of data information is retrieved in seconds to capture the trend of the suspect in time. All the online cameras in the platform can achieve the function of snapping and recording in linkage. In simple terms, the intelligent algorithm in the platform locks in the criminals. After the public security personnel confirms, all the cameras on the road can capture the linkage of crimes. For example: When the suspect appears in the A camera's screen, and when he is about to leave the screen, the platform's smart algorithm will switch the video screen to another camera that can capture the suspect B continues capturing, then connect the C camera The picture ... and so on until the suspect is arrested.
As an important part of a smart city, the intelligent transportation system has been widely used throughout the country. Although the intelligent transportation system has played an important role in regulating the safe use of urban roads and the safety of vehicles, it is not difficult to see that traffic jams on certain sections of the city and the scarcity of vehicles on certain road sections still exists. This is related to people's travel habits to a certain extent, but it also has a lot to do with insufficient information before people travel.
A large number of cameras on the road have collected traffic information of different roads in the city. The back-end software can easily analyze and calculate the congestion of road vehicles based on these basic information, and draw a real-time traffic flow map of the entire city. But the question is, how can we effectively use this data and how to make drivers on the road understand these situations in real time and avoid entering congested roads. Interconnecting the intelligent traffic system with the car navigation system and transmitting the analysis results to the car navigation device in real time will prompt the driver to select the appropriate travel route. In addition, the intelligent traffic system and the traffic signal light will be interconnected according to each intersection. The situation of traffic flow and the trend of traffic flow for a period of time in the future, as well as reasonable adjustment of the time of traffic lights, can also reduce to some extent the occurrence of queues for vehicles with red lights and vehicles without green lights.
In this way, not only can the traffic pressure be alleviated, but it can also play a role in energy saving and emission reduction and environmental pollution reduction to some extent. The parking management system can also be added to provide parking information for nearby drivers in a timely manner so that the driver can quickly and easily find a parking space, save time, and reduce exhaust emissions.