Research On Information Systems Of Intelligent Urban Traffic Guidance

As an important subsystem in the intelligent transportation, the guidance system of urban traffic plays a very important role in facilitating the traffic. In the rush hour in the morning and evening, although the road resources are limited, not all the roads are in a state of congestion.The purpose of the guidance system is to induce traffic routes in the network, balancing the distribution of traffic flows in the road network.In this paper, firstly the background and significance of the guidance system is introduced, the research situation of guidance systems at home and abroad and their respective advantages and disadvantages are analyzed. On this basis, business functions and the system framework of this guidance system is put forward combined with customer demands. Secondly, the basic theory knowledge of the traffic flow is deeply studied and the interrelation between three elements of the traffic flow is analyzed in detail. In addition, a lot of data is verified through the Mat Lab software, and the interrelation between these three element is fitted. According to the results of fitting, data collected is in accordance with the interrelation between the three elements. And then the prediction algorithm for the short-term traffic flow is studied. After the analysis of comparing each prediction algorithm for the traffic flow, BP neural network model is used to predict the short-term traffic. BP neural network has the connected network structure, which can predict complex nonlinear problems. However, when BP neural network is in model training, it is very easy to fall into the local minimum. Therefore, in this paper USES genetic algorithm is employed to optimize the neural network, achieving the effect of the global minimum value. Meanwhile, the recognition algorithm for road status is studied. In this paper, through the two weighted value pf two parameters---traffic speed and traffic flow, the traffic state value is calculated, and then the congestion threshold and unblocking threshold are respectively set: if the traffic status value is less than the unblocking threshold, it is indicated that the traffic is clear; if the traffic status value is greater than the congestion threshold, then the traffic is heavy; if the traffic status value is between these two parameters, it shows that the traffic is in a slow state.Finally, the information system of urban traffic is summarized in this paper. The future development trend for the information system of urban traffic is discussed.