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Container multimodal transportation system is a dynamic complicated system with multiple variables and nonlinear feedback loops and influenced by some factors. The efficiency of container multimodal transportation system will decrease if these factors mismatch with each other. In order to improve the level of container multimodal transportation system, analyzing the key factors of container seamless...
On the stochastic models of economic optimization of Prof. Chen M F, this paper chooses Prescott's paradigm to analyze how optimally to allocate the investment of Jiangsu Province to coordinate the comovements of Jiangsu's transportation and non-transportation, acquires a optimal stochastic controllable model for the coordinated developing, finds a worthy Euler equation of this model, does a numerical...
The result of high-amplitude growth of consumption and the low-amplitude growth of production intensified the contradiction between supply and demand of crude oil, which requires a large amount of crude oil imported from abroad to meet the domestic consumption needs. Due to the fact that the forecast of the shipping import volume is an imperative component in our energy security system, this paper...
In this paper, for the requirements of freight volume forecast on the Post-evaluation work of Inland Navigation and Hydropower Project, the two prediction methods-exponential smoothing method and the gray method were compared in this article, and established prediction model of each method. By freight volume forecast of DaYuanDu Navigation and Hydropower Project hinterland, the results shows that...
Simulation model has been proven an effective tool for analyzing complex vehicle movements under sophisticate transportation environment, including the container operations in the freight terminals. In order to replicate the consecutive activities that each truck has to go through to fulfill its task in the freight terminal, system modeling of terminal operations can provide a seamless analysis to...
This paper uses GMDH method to establish a prediction model to forecast the output value of transport & storage of Guangdong in China, since the original samples of the output value of transport & storage are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective...
Supply network is kind of a typical complex adaptive system. Its structure not only changes according to uncertain market demand, but also evolves along with its external environment of industrial cluster. In this paper, a multi-agent simulation approach is proposed to study supply network dynamics. In the model, each supply network member is represented by an autonomous agent, acting subject to its...
This paper puts forward a two-stage correlative DEA model to measure airport production efficiency. The complicated production process of decision-making units is decomposed into two sub-processes. The correlative DEA model is used to evaluate the airport production efficiency by considering the co-relationship of sub-processes within the whole production process; an empirical study on 8 airports...
In view of the high dynamicity of traffic flow and the polynomial increase in the number of vehicles on road networks, the route choice problem becomes more complex. A classical shortest path algorithm based only on road length is no longer relevant. We propose in this paper an adaptive vehicle guidance system instigated from the ants behavior, well known for its good adaptativity; this system allows...
Transportation is an important contributor to environmental problems like declining air quality. Current traffic measures seek to optimize travel times, but fall short on the ideal of an ecologically friendly traffic system. The European research project eCoMove aims to reduce the overall fuel consumption in traffic by 20 percent by means of energy efficient driving behavior and energy efficient traffic...
This paper analyzes the equilibrium properties of the morning commuting pattern in a many-to-one corridor network. In the equilibrium state of the multi-origin corridor, no commuter can reduce his/her total commuting cost by unilaterally changing his/her arrival time or departure time. It is found that commuters living closer to the workplace always join the traffic cohorts of those who live farther...
Cost issues have been an important concern in the development of Personal Rapid Transit (PRT) since the concept was developed several decades ago. The lightweight, computer-guided electric vehicles operating the PRT system are generally a major part of the capital cost of the system, especially in larger network with high demand. A sufficient number of empty vehicles are needed to be moved to the...
Today, numerous works conclude that transport seems to be completely coupled to economic growth. Therefore, as a direct consequence of economic development, transport sits today as one of the major final energy consumers and one of the most important sources of carbon dioxide emissions. Furthermore, in the absence of major technological change, this unsustainable situation will undoubtedly continue...
A hierarchical multiobjective model based predictive control approach is presented for solving a dynamic pickup and delivery problem. The hierarchical multilayer structure of the system is used to decompose the optimization problem into smaller but more tractable subproblems. In the bottom layer, the dispatcher (re)routes the vehicles when a new request appears, and minimizes user and operator costs...
Many practical optimization problems usually have several conflicting objectives. In those multiobjective optimization, no solution optimizing all the objective functions simultaneously exists in general. Instead, pareto — optimal solutions, which are efficient in terms of all objective functions, are introduced. In general we have many optimal solutions. Therefore we need to decide a final solutions...
Internal logistic systems are an important part of the modern industry. Their design is challenging due to high complexity and heterogeneity. It involves as a rule elaborate simulations, but the analysis of the simulation results is often limited to acquisition of key indicators. In addition, analysis of these systems at runtime is difficult due to a large amount of monitoring data. Nonetheless, in-depth...
In order to protect the sustainable and healthy development of urban public transport system, relieve its internal price competition, this paper proposed a ticket pricing model of urban rail transit based on Game theory. Through consideration of different radiation scope under different operation stages, this paper construct rail and bus transit's ticket income models, and by Nash equilibrium got...
In order to improve efficiency of the expressway and solve the problem of traffic congestion, the idea of HOV lanes is introduced in this paper and based on the multinomial logit model the passenger transit mode prediction model is established in the case of the HOV lanes for the expressway set. The options set choose the car of one passenger, the car of two passengers, the car of more than two passengers...
In order to protect the whole benefit of urban rail transit system, ease the conflict of government, Metro Corporation and passengers' different interest requirements, as well as balance their rights and performance, this paper proposed an urban rail transit's pricing method based on Shapley value. By analyzing the benefit relationships of urban rail transit system, construct the government, corporation...
To solve the defects of cross-section data or time series data for statistical analysis of econometrics, the paper introduces a powerful econometric tool-Panel-Data model which provides more samples that help to improving the effectiveness of the estimated parameters and deeply analyzes the problem. Taking the important regions of China's economic development---east China as the object of its study,...
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