Applied Mechanics and Materials Vols. 253-255

Abstract: This paper aims at analyzing energy consumption and CO2 emission in the Chinese transportation sector. Historical data is used to investigate the energy consumption and intensity in China. Firstly, the energy consumption values in transportation sub-sectors are reviewed. Secondly, the CO2 emission in the transportation sub-sector are calculated. At last, the review of policies such as fuel econmy standards are summarized in this study. It is found in the study that highways transport was the biggest energy consumner and the biggest contributor to CO2 emission in China. It is urgent to adopt suitable energy policy to balance the energy consumption and matierial and material production and reduce emission in transportation sector.

Abstract: An intersection with protected pre-signal is proposed in the paper to explore the potential capacity of intersections. The space between the main signal and the pre-signal is isolated as an exclusive waiting area. The relationship between the capacity and the arrival rates in the design is investigated and the sensitivities of length of waiting area, signal timing and arrival rates are presented. The comparison among Continuous Flow Intersection, the method Xuan (2011) proposed and the design in the paper is proposed. The results show that Median U-Turn intersections with protected pre-signal is expected to increase the capacity and decrease the average delay of intersections.

Abstract: Recovery management on fight disturbance serves as an important item in emergency management of airlines. This paper discussed the rule of recovery model establishment for flight disturbance of airlines, established recovery model for flight disturbance based on approximate model for time slot, and took the failure of an airplane for a whole day as an example for analysis. The results show that flight adjustment through established model can reduce cost and provide more effective flight allocation solution for airlines.

Abstract: It is important to prioritize maintenance needs to bridges that are most significant to the functionality of the entire network under budget constraints. In this paper, the network-level bridge maintenance planning problem is solved by time series-based multi-attribute decision-making method. First, the decision-making matrix composed of index value is introduced and then growth matrix of each time sample points is derived from decision-making matrix. Second, the composite indicator values and integrated growth index values of each bridge can be calculated through the information entropy. Third, the sort of bridge combination of value is counted by composing the composite indicator values and integrated growth index values of each bridge. According to the sort of bridge combination of value, it is easy to obtain a bridge maintenance order. Finally, as an illustration example, time series-based multi-attribute decision-making method is applied to an existing 10-bridge network and proved the effectiveness and feasibility of the proposed method.

Abstract: This paper bases on the description of the traditional POI and the concerns of modern logistics and highway transportation, concludes and abstracts the POI of highway transportation, classifies the POIs and also give detailed description for every classification. Then we extract the visual search model for POI of highway transportation and realize the model. By using the model, the operator can get more meaningful guidance and can reduce the costs of transportation.

Abstract: The accurate measurement of the speed of urban rail vehicle is the basis of normal operation of the train controlling. Since speed measuring devices of vehicle-borne is inevitably disturbed by the sensors or the external environment, the deviation between the measured speed and the actual value, which varies randomly, is impossible to eliminate. This paper utilizes the method of minimum variance prediction to predict the speed of the train. By this way, the variance of the deviation between the predicted value and the actual value of the speed can be minimized. The model of the speed of the train is also discretized, which overcomes the shortcomings that the transitional models and control theory are limited to theoretical analysis but cannot be used in the actual computer control systems. In the section of simulation, the article shows the actual simulation results, which prove that this method has strong practicability.

Abstract: Electric bus is different from traditional bus. Its operation scheduling is constrained by the charge time, discharge time and driving range. On the base of full consideration of the electric bus driving range and charging time, the electric bus scheduling model is built. Then a genetic algorithm is selected to solve the model. Finally, an electric bus route in Zibo City is taken as an example, to adopt modeling and solving. The results verify the applicability of the model and algorithm.

Abstract: Traffic simulation is now widely accepted as one of the most appropriate analytical methods for understanding traffic capacity and for assessing the effectiveness of traffic amends. This paper studied the architecture of several pieces of popular simulation software, compared the stand-alone pattern with B/S (Browser/Server) pattern, analysed the increasing need to improve traffic simulation software by changing the stand-alone pattern, then presented a suitable architecture to realize B/S pattern for traffic simulation software, and had successfully built the Traffic Simulation WebGIS System which was based on WebGIS technology and .Net Framework. This system makes full use of WebGIS and traffic simulation technologies which can best meet traffic management needs. Users can visit the system and use the traffic simulation functions offered by remote servers through the Internet by browsers anywhere without having to install any special software on their compter or mobile machines.

Abstract: The forecasting for short-term traffic flow has always been one important and difficult research focus in the traffic forecasting areas. Based on the BP Neural Network, which was applied to nonlinear problems, the independent short-term forecasting models for the different traffic flow of the continuous time point series in one day and the constant date series at same time point were set up respectively, then, a short-term combination forecasting model for traffic flow, in which the regular fluctuations in the traffic flow data of the continuous time point series in one day and the constant date series at same time point were fully considered, was established, and can be applied to the complex spatio-temporal features of short-term traffic flow. With the sample of traffic flow dada, the forecasting results of the different models showed that the combination forecasting model provided a better forecast accuracy than the independent models.

Abstract: Not only multinomial logit (ML) model is usually used in the analysis of travel mode split, but also nested logit (NL) with the method of phased estimation is used. NL model was developed in the paper which used the simultaneous estimation method to analyze travel mode choice behavior on the basis of the basic theory of disaggregate model and data of stated preference survey (SP). In the course of estimating the parameters, the multi-constrained optimization function in optimal tool of MATLAB was used to solve the maximum likelihood function. Using this method, the parameters of model could be calibrated at the same time. The hit ratios are also accurate. It is found that the NL model approach can consider more factors affecting the travel mode choice of residents, improve the prediction accuracy of model and practicality.