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Based on the description of dynamic vehicle routing and scheduling problem (DVRP), a vehicle-dispatching system with variable travel times was designed using advanced information systems of intelligent transportation systems in urban areas. The system consists of offline dispatching module, online dispatching module, information module, data base, forecasted module mainly. In offline dispatching module,...
The problem of chaos rapid judging in traffic flow was studied using neural networks with particle swarm optimization (PSO). Based on analyzing the demand of intelligent transportation system and the problems of the existing methods of chaos identifying, the intelligent method of chaos rapid judging in traffic flow was proposed. The principle and the structure of the system are briefly introduced...
The bi-level programming of regional logistics system in elastic demand was studied by using fuzzy c-means clustering. Game relations among the government, the owners of the logistics centers, and the clients were discussed by system analysis method. The synthetic evaluation indices of 17 characteristic vectors were established. The problem is equal to that of determining the membership values to...
The method was studied about traffic flow prediction by using subtractive clustering for fuzzy neural network model of phase-space reconstruction. The prediction model of traffic flow must be established to satisfy the intelligent need of high precision through analyzing problems of the existing predicting methods in chaos traffic flow time series and the demand of uncertain traffic system. Based...
The problem of the coordinative development in regional logistics system was studied by multi-attribute utility function theory. Through system analysis and goal resolvability, the synthetic evaluation indices of supply and demand level were established respectively. The concept of coordinative development level about supply-demand system was proposed from the angle of regional sustainable development...
The bi-level programming of regional logistics system was studied by using fuzzy c-means clustering. Game relations among the government, the owners of the logistics centers, and the clients were discussed by system analysis method. The synthetic evaluation indices of 17 characteristic vectors were established for clients to select the logistics centers and exchanging amount. The problem is equal...
The rapid recognition problem of chaos in traffic flow was studied by using rough set neural network. Based on analyzing the demand of intelligent transportation system and the problems of the exiting recognition methods of chaos in traffic flow, the intelligent recognition method of chaos was proposed. The principle and the structure of the system are briefly introduced. There are online recognition...
The real-time recognition problem of chaos in traffic flow was studied using reduced support vector machine. Based on analyzing the demand of intelligent transportation system and the problems of the exiting recognition methods, the intelligent real-time recognition method of chaos in traffic flow was proposed. The principle and the structure of the system are briefly introduced. There are online...
The method was studied about traffic flow prediction using least squares support vector machine regression for fuzzy rule-based model of phase-space reconstruction. The prediction model of traffic flow must be established to satisfy the intelligent need of high precision through the problems analysis of the exiting predicting methods in chaos traffic flow time series and the demand of uncertain traffic...
Optimal number, sites, and scale of regional logistics centers were studied by using fuzzy c-means clustering and genetic algorithms. The uncertainty for the clients to select logistics centers and exchanging amount was defined as the membership of the clients to the given logistics centers or the clustering centers. The synthetic evaluation indices of features vectors were established. Then we got...
Scale determining of the merchant logistics centers can be studied under the discussion of the game of the suppliers, logistics centers proprietors and consumers by fuzzy c-means clustering. Using complex adaptive system theory we analyzed the game relation among the suppliers, the merchant logistics centers and the consumers. To consumers random sample was used combined with population distribution...
Scale determining of the merchant logistics centers can be studied under the discussion of the game of the suppliers, logistics centers proprietors and consumers based on supply chain management. Using complex adaptive system theory we analyzed the game relation among the suppliers the merchant logistics centers and the consumers. The uncertain three-level game model was established. The upper level...
The questions on agents' goals optimization and system's general goals realization in a simple supply chain system composed by a manufacturer and a distributor are analysed, under three kinds of game models which are the complete information static game model, the complete information dynamic game model and the cooperative game model, in this paper. The production and the order quantity are decision...
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