Design Of Neural Network And GIS Intelligent Bus Service System

With the acceleration of the process of science and technology,urbanization and intelligence,the number of urban population and motor vehicles has increased geometrically,and the pressure on urban traffic continues to increase.Traffic congestion has become a serious problem in some large and medium-sized cities.It is generally believed that public transport is the best way to solve urban traffic problems.As an important part of smart transportation,public transportation has attracted more and more attention..The research content of this paper is the design of the smart bus service system.The key point is to put forward the overall design of the service system of the smart bus,establish the overall network architecture of the service system,and plan the functional modules of the service system.The key to a smart bus service system is the intelligent scheduling of buses and the dynamic planning of passenger travel plans,both of which are based on the accurate prediction of the travel time of the bus sections.Aiming at the prediction of the travel time of the bus segment,the predicted travel time of the bus is related to the current travel time,and it is also closely related to the historical data.This paper establishes a travel time model based on an improved neural network to predict the travel time of the road segment as follows:1 Based on the establishment of a neural network segment travel time prediction model.The BP neural network with adaptive and self-learning features is suitable for dealing with non-linear regression and prediction problems.2 Optimization model.In order to improve the accuracy of prediction model,an improved scheme of BP neural network is put forward.Genetic algorithm is used to optimize the connection weights and thresholds of neural network,which reduces the training time and improves the accuracy of model prediction.The last article discusses the intelligent bus service system for passengers to provide dynamic planning of travel routes and bus intelligent scheduling design.This article provides technical support for improving the efficiency of bus operation and the service level of bus companies,with a certain degree of practical significance and social value.