In recent years, with the rapid development of urbanization, the continuous increase of urban population and the continuous release of travel and transportation demand have not only accelerated the construction of urban transportation, but also spawned many traffic problems. Including traffic congestion, accidents and pollution, all have brought major threats to people’s production and life. In this context, the concept of smart transportation has been increasingly proposed and practiced.
The so-called smart transportation refers to the use of various intelligent technologies and equipment to promote the digitization, networking and intelligence of transportation. Among them, networking is undoubtedly crucial to the development of smart transportation. Using the Internet of Things to successfully connect all links and aspects of transportation can not only effectively enhance traffic supervision and upgrade traffic services, but also further improve the existing traffic formats.
Since 2020, the concept of smart transportation has been widely mentioned, especially in the “14th Five-Year Plan”, which clearly proposed to speed up the construction of a strong transportation country, and the construction of smart transportation has been put on the agenda.
In the context of building a strong transportation country, you may still think that smart transportation is out of reach, but it is not. Smart transportation is closely related to our lives, protecting road safety all the time and facilitating people’s travel life. Therefore, the construction of smart transportation is accelerating, and the construction of smart transportation, sensors are very important. In the intelligent transportation system, the sensor plays an irreplaceable and important role just like the human facial features, and has a wide range of applications in various fields of transportation. For example, the sensor network composed of wireless sensors has excellent characteristics, which can provide an effective means for the information collection of intelligent transportation systems, and can detect vehicles in all directions at the intersection, and improve, simplify and improve the signal control algorithm according to the monitoring results. and improve traffic efficiency.
In addition, the wireless sensor network can also be applied to the control subsystem and guidance subsystem in the execution subsystem, such as improving the signal controller to realize the bus priority function of the intelligent transportation system; and the location sensor can help achieve energy saving and emission reduction. and other functions.
In addition to helping local units track real-time highway conditions, the sensor can also provide predictive data on driving time, which will be displayed above the highway as a dynamic message sign (DMS) for driving reference. A large amount of data can also help traffic planning, provide more favorable information for future highway improvement plans and decisions, and help the construction of the intelligent transportation industry.