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Generalized Regression Neural Network-based Road Traffic Travel Prediction Analysis

Posted on:2010-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:G Q LuFull Text:PDF
GTID:2132360275984220Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
With the socio-economic development and people's living standards, people began to discover the demand for a higher level of life, that is, spiritual and cultural needs of the tourism industry which came into being. December 1998 will be the central economic work conference of China's tourism industry as a new economic growth points, which marked China's tourism industry has entered a new stage of development. Tourism consumption levels as a direct final consumption in driving economic growth, start of social capital and promote the consumer to bring private investment will play an important role in expanding domestic demand will make a more positive contribution.In the field of transport, tourism, passenger traffic continued rapid growth in the tourism industry is an important manifestation of the rapid development of one, the development of tourism and tourism transport makes the relationship more closely, there has been discussion of the concept of tourist traffic and tourist traffic on many related research work. Combination of tourism and transport the most direct manifestation of passenger services in tourism, so as the development of tourism, the tourism traffic forecast to increase gradually the level of passenger services of tourism become a primary concern, and thinking of new topics.Research on Highway tourist traffic forecasting methods, not only conducive to improving the quality of tourist transport services, at the same time for the scientific and rational planning, construction and improvement of the tourism transport system, the development of regional tourism-related industries are of great significance, especially for tourist traffic in the highway road a larger share of traffic in the region and better development of the tourism industry or the tourism industry of the region a larger share of even more significant impact.Research on Highway tourist traffic forecasting methods, the development of industrial economy from a macro perspective, contribute to the promotion of regional tourism development, the development of tourism for the national transportation strategic planning and practical strategy to provide a basis for market development. From the micro perspective, reasonable arrangements will help the regions road traffic resources, and coordinate transportation and tourism in general the relationship between transport; help guide the harmonious development of the tourism industry, the rational allocation of resources for tourism transport; help increase the charm of tourist spots, tourist attractions to enhance the region's economic vitality, and promote sustained and steady economic development.In this paper, based on the characteristics of tourism on the basis of the conduct in-depth analysis of the characteristics of tourist traffic, the system of roads to tourist traffic forecasts of the basic theory of modeling, analysis of the application of MATLAB neural network road traffic forecast the feasibility of tourism; and Highway Tourist traffic is forecast to be objective, through the establishment of generalized regression neural network models to predict the volume of tourist traffic, road, combined with case studies on the concrete application of this model, analyze its characteristics and applicability, with a view to travel for road traffic to provide a quantitative prediction kinds of new ideas.
Keywords/Search Tags:Travel, Tourist traffic, Traffic forecasts, Grnn
PDF Full Text Request
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