Research On Application Of GPS Vehicle Monitoring And Guidance System Based On

With the deepening of China’s reform and opening up, the rapid development of the national economy. Along with the rapid increase in traffic flow is; traffic jams,traffic accidents, air pollution is worsening. Implementation of intelligent induction traffic be imperative. Because of the new technology in the field of intelligent transportation integration, the rapid development of intelligent transportation, but the induction was mostly induced by the path, influence factors and the critical velocity induced by the reasonable signal lamp is blank, is a topic worthy of study for the usefulness and applicability of the intelligent transportation system of the induction.Research and analysis of the causes of traffic delay caused by background traffic flow according to the Xining city traffic capacity of poor situation for a typical congestion crossing. Through analysis of the causes of traffic flow and the traffic delay difference is mainly because the driver of the signal lamp is not accurate grasp problem judgment, thus causing traffic intersection congestion and delays. Through the GPS vehicle navigation system provides the running position, vehicle running route, vehicle speed signal and the network center provides the car traffic signal position and running on the route and other light timely situation information by sharing, operation and processing, the timely transmission of information to the user, the satellite monitoring to GPS traffic in real time the transmission of information to the traffic network center, we known data(received through GPS vehicle location is away), the second is the residual signal time(i.e. through network centers collecting data), to calculate the vehicle if now the known distance and time required by how much speed, calculation speed through the distance and time, when the calculated speed is less than 60k/h to remind the driver accelerated through, after calculating speed than 60k/h remind drivers to slow line through this real time to remind a driver to induce optimal scheme through the intersection and auxiliary green wave coordination in order to enhance traffic capacity. To provide a reference for the decision of intelligent scheduling of the research results of this paper can be of traffic in Xining.