Coordinated Control of New Energy Environment and Mixed Vehicle Flow Speed Based on Sensor Network

At present, China has accelerated the process of urban development that has led to a significant increase in the number of urban cars. The construction of basic transportation facilities has been unable to meet people’s basic needs, and serious vehicle congestion has occurred on urban roads and expressways. Moreover, with the rapid increase of vehicles and the rapid development of industry, the harmful gases emitted pose a direct threat to the ecological environment. There is a dire need to vigorously promote the development of new energy vehicles based on this environment. All together, the miniaturization of sensor network, low power consumption, and low investment cost have become the preferred equipment for intelligent collection of traffic data. This article utilizes the sensor networks to study the speed coordination control of hybrid vehicle flow. It deploys the sensor nodes in roadside parking positions and driving sections of expressway. It also collects and fuses the data passing through sensor network nodes. Various algorithms in hybrid vehicle flow rate algorithm based on sensor networks are combined with the established speed flow relationship model of mixed vehicle flow. The actual highway road traffic situation is analyzed that can be used as an important basis to realize the coordinated control of mixed vehicle flow speed. The research shows that the average speed of expressway calculated based on quadratic parabola model is 83.72 km/h that has a deviation of 0.6% compared with the actual situation.