Spectral characterizations of sandglass graphs

a b s t r a c t The sandglass graph is obtained by appending a triangle to each pendant vertex of a path. It is proved that sandglass graphs are determined by their adjacency spectra as well as their Laplacian spectra

Traffic Flow Prediction Based on the location of Big Data

This article focuses on the design of intelligent transportation systems in the construction of the smart urban. Learning from the wisdom of traffic building programs, the paper is given the overall design of intelligent transportation process based on location big data. Lanzhou City was analyzed and designed using this method. The collected GPS big data was deeply excavated and analyzed through the mathematical model. Thus the clear city traffic analysis chart was got to predict the traffic flow. In the end the intelligent transportation was realized in the smart city. The arrival of the "smart city" is not only changing the quality of life of personal information, but also can be applied to urban public safety, manufacturing production, environmental monitoring, intelligent traffic, intelligent home, environmental monitoring and other fields. It can make full use of the social resources. It can greatly promote the enterprise to reduce the cost. It can make the government improve public service ability and city management efficiency.(1-3) From the point of the architecture of the smart city the wisdom of the city is based on the technology of the Internet of things, so the architecture of the smart city is similar to the internet of things. It is divided into four layers which are the perception layer, transport layer, system layer and application layer. The goal of the intelligent transportation system (ITS) is using the communication system to closely combine the transport system of people, vehicles and road. Advanced traffic control system and advanced traffic management system are required to provide real-time traffic flow information. Traffic flow analysis is an important research content in the transportation system. The traditional traffic flow model is described the traffic flow state variables (velocity, density and flow) with the change of time and space.(4-5) From the research of traffic flow, the research method of traffic flow is developed from the empirical method to the research method based on physical model and the mathematical model. Finally it returns to the initial empirical method.The Fig.1 is shown the platform of the location big data.(6-8) All study is based on the data. The location big data is studied through this platform. There are four steps which are data acquisition, data analysis, data calculation and data visualization. The intelligent transportation on business analysis can be got through thos

Spectral characterizations of sandglass graphs

The sandglass graph is obtained by appending a triangle to each pendant vertex of a path. It is proved that sandglass graphs are determined by their adjacency spectra as well as their Laplacian spectra. (C) 2009 Elsevier Ltd. All rights reserved

The Research on Planning of Taxi Sharing Route and Sharing Expenses

Aiming at the problem of taxi low carrying rate, unreasonable route planning, and taxi charges, this paper mainly studies the taxi sharing routes and the sharing expense model which take the maximum carrying rate, the shortest driving distance, and the sharing expense of drivers as the objective function. We consider the problems of taxi capacity limitation, the driving distance limitation, the number of people getting on and off, and the charges. Through using the passenger’s pool to classify passengers in different directions and different starting points, we use the championship selection strategy, station fragment cross design, station-supervised mutation, and pricing algorithm to solve the model. Finally, we analyze the taxi data of Lanzhou City and simulate the new ways of this paper. The results are shown that compared with the daily practice of the nonshared mode, the taxi sharing mode has obvious improvement in terms of carrying rate, driving distance, and driving benefits. Therefore, the sharing mode can be used in taxi sharing route, and the sharing expenses are reasonable and useful for passengers and drivers