RESEARCH ON APPLICATION OF TRAFFIC INFORMATION COLLECTION BASED ON MILLIMETER WAVE RADAR

This paper proposes a new type of traffic information collection equipment—millimeter wave radar based on ground sensing coils, video detection, microwave detection and other traffic collection equipment; the purpose of the research is to collect road traffic information parameters at intersections through millimeter wave radar. , Such as traffic volume, traffic flow density, time average speed, interval average speed, headway time, vehicle queue length, etc.; introduced the working principle of the frequency modulated continuous wave (FMCW) millimeter wave radar traffic monitoring system modulated by triangle wave, using the Doppler effect to get The speed of the vehicle; the speed-distance formula and the combination of numbers and shapes are used to obtain the queue length of the vehicle; the triangular wave radar can detect the position information of multiple vehicles at the same time, and can obtain real-time traffic volume and traffic flow density; use the speed of a single vehicle and The position information of multiple vehicles can obtain time average speed, interval average speed, headway time and other parameters; compared with existing research, the results obtained in this paper have certain practical significance.

Data Acquisition and Mining Algorithm of Car Networking under Big Data Background

In order to solve the problem of traffic jams, intelligent traffic technology and car networking technology were applied. In the context of big data, data acquisition and mining algorithms for vehicular network were studied. First, the overall architecture of the system was introduced. Then, the data acquisition technology based on the car network and the data mining technology based on the cloud plat-form were introduced. Finally, simulation experiments of real-time traffic information collection and recognition algorithms were performed. The results showed that the proposed mining algorithm had better data repair effect and better clustering effect, and the probability of misjudgment was smaller. Therefore, the algorithm can obtain accurate road traffic conditions.

Wireless Sensor Traffic Information Collection System Based on Congestion Control Algorithm

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">In order to develop a fast and convenient traffic information collection system, the wireless sensor traffic information collection system based on congestion control algorithm is designed. This new system reduces the operation and maintenance costs and improves the efficiency of traffic information collection. By analyzing the wireless sensor network, the application of wireless sensor network in intelligent traffic information collection system is discussed. In addition, the design scheme of traffic information collection system is designed. After analyzing the size of the network in the scheme, the congestion problem in the scheme is discussed finally. The simulation results show that the node communication radius is 50 m when the simulation scene is located in the monitoring area, while the MAC protocol is 802.11 DCF and the initial energy of all nodes is 1 J. Based on the above finding, it is concluded that the congestion control algorithm has better throughput, network delay and network energy consumption, which is suitable for the wireless sensor traffic information collection system.</span></span></p>

The Wireless Sensor Networks Base Layout and Density Optimization Oriented towards Traffic Information Collection

Wireless sensor networks (WSN) are applied in Intelligent Transport System for data collection. For the low redundancy rate of the wireless sensor networks nodes of traffic information collection, the senor nodes should be deployed reasonably for the WSN nodes to work effectively, and, thus, the base network structure and the density optimization of the sensor network are one of the main problems of WSN application. This paper establishes the wireless sensor networks design optimization model oriented to the traffic information collection, solving the design optimization model with the chemical reaction optimization (CRO) algorithm. The experimental results show that CRO algorithm outperforms the traditional particle swarm optimization (PSO) in solving the wireless sensor network design optimization oriented to the traffic information collection, capable of optimizing the wireless sensor network deployment of traffic information collection to contribute to the great improvement of the comprehensive value of the network performance. The reasonable design of the wireless sensor network nodes has great significance for the information collection, post-maintenance-and-extension, and cost saving of a monitoring system.