Position Evaluation of Highway Tunnel Vehicle Based on Cloud Model
Zhang Li-ca · Jisuanji gongcheng · 2013
In order to achieve lighting energy saving of highway tunnel,the method of speed and position evaluation based on cloud model is proposed.It uses positive cloud with the combination of reverse cloud algorithm,processes the pulse waveform data when the vehicle goes through coil to obtain the estimation of average speed.It keeps the speed estimation results and time as the decision basis of vehicle's position,and adopts cloud reasoning estimate vehicle's position.It makes cloud estimation error real-time correct,so as to judge the position of vehicle accurately.The simulation and experimental results show that the algorithm is able to realize the estimation of vehicle's position inside the highway tunnel,and the accuracy of which can reach 99.230 9%,so as to improve efficiency in practical application of the cloud model algorithm,suitable for the energy saving control of lighting system in highway tunnel.