Advanced Materials Research Vols. 779-780

Abstract: The reasonably and accurately prediction of tourism highway traffic demand of tourist attractions is a key issue in regional tourist planning and road network optimization. Based on the analysis of influence factors, this paper presented a method to calculate tourist highway traffic demand of tourist attractions through the number of visiting tourism of the tourist attraction. Then we compared the predicted value with the actual survey value, and a case study of Xingkai Lake had been analyzed and attempted to validate the establishment model. The presented tourist highway traffic demand model can provide a reference for regional tourist planning and road network optimization.

Abstract: Five influence factors of urban transportation low-carbonization development are analyzed which includes low-carbon transportation planning, road network construction, green travel, energy utilization and transportation management. The assessment indicator system and the assessment method of urban transportation low-carbonization development are set up. A case of assessment in Chengyang District is studied.

Abstract: This research explores the application of available information from Automated Data Collection Systems (ADC) with a focus on bus passenger Origin-Destination (OD) matrices inference, using Chongqing as a case study. It demonstrates the feasibility and ease of applying to infer bus passengers boarding and alighting locations if boarding information is available from neither Automatic Fare Collection System (AFC) nor GPS data, and is the first known attempt to create an algorism to use stop Geographic Information System (GIS) and dual-direction bus stop group to estimate the boarding location and traveling direction when GPS data cannot provide the arriving information at bus stops. The results of this research have been practically applied to a full-size bus network in Chongqing, and can be easily implemented to other Chinese cities as Chongqing presents most popular data structure of ADC in China.

Abstract: The factors relation to the longitudinal sliding friction coefficient of sedan braking are numerous,and the affects of each factor are complex.This paper selects speed, load,tire pressure,road surface properties,road conditions,through orthogonal experiment,getting the influence degree of each factor.Regarding to the large range of sedan speed,studying the relationship between the friction coefficient and the speed,and getting the influence trend.

Abstract: In order to achieve the reconstruction of existing horizontal railway alignments, automatic identification model and optimization algorithm for existing railway planar feature points are proposed. Firstly total least square method of constraint adjustment quantity is proposed, based on which, automatic identification model is built. Then an evaluation function with the radius of circular curve and the lengths of two transition curves as parameters is presented. Based on the direction acceleration method, a reconstruction optimization algorithm is proposed to optimize this ternary implicit function. The proposed model and algorithm can realize the automatic fitting of measuring points and the optimal localization of planar feature points. Example shows that the reconstruction result is considerably superior to the traditional method and is feasible for the engineering practice.

Abstract: In estuarine and coastal area, due to the colligated function of tide, runoff, wind and wave, suspended sediment profile in main flow direction varies from the inland river. Thus, combined with massive data sets from experiments in flume and observations in field, the study on the profile of concentration of suspended sediment are carried out in the thesis. Finally, 3D numerical model of turbulent sediment is established in estuarine and coastal area to carry out a simulation research on current and sediment movement in Yangtze River estuary.

Abstract: The operation of plateau airport is the major problem for the development of China civil aviation transportation. Situation awareness (SA) research is of great importance to the improvement of air traffic controllers training and air traffic safety of plateau airport. First of all, the concept of SA as well as SA assessment methods was introduced in this paper. According to the summation of plateau airport situation, the impact of exposure to plateau environment on controllers SA was analyzed in details. Finally, it reveals what the trend of research on air traffic controllers SA is and what the core problems to be solved are.

Abstract: The authors developed low cost unmanned helicopter, real time video data transmitting system and a new type flying robots. The effectiveness is confirmed by real field experiment tests. Hazard map for disaster countermeasures is made on the basis of data obtained by the aviation vehicle system. The hazard map is delivered directly to a smart phone and a tablet PC. Therefore residents can keep track of disaster information quickly and accurately.

Abstract: The paper determines the impact factors of high-speed spindle system including the centrifugal force, gyroscopic moments and the bearing stiffness softening, and builds the general spindle-bearing FEM considering high speeds. Taking a motorized spindle as example, the effect of centrifugal force, gyroscopic effect, the radial stiffness and the coupling factors are analyzed qualitatively and quantitatively. Finally the research shows the variations of bearing radial stiffness, centrifugal force and gyroscopic moments have a significant effect on dynamics of spindle system in high speeds, while modeling the high speed spindle system, above factors must be considered.

Abstract: Accurate FEA model of torsion beam suspension and its strain histories are keys to precisely predicting its fatigue life. A strain analysis method is presented, integrating FEA and neural network analysis. The displacement and force histories of the wheel center and strain histories of multiple measurement points on the suspension are measured from road durability test. Apply transient response analysis to determine the FEA model and obtain strain histories of the measurement points. Use a neural network method to obtain accurate additional load. By comparing analysis results and test data, the accurate strain response of torsion beam suspension can be gained