Applied Mechanics and Materials Vols. 505-506

Abstract: In the process of the traffic accidents confirmation, the identification of vehicle speed when accident occurred is often an important basis for accident confirmation. The paper firstly discusses the models of mechanics and solving method for the vehicle front face, rear end, sides face ,slanted side collision based on the theory of collision mechanics ,it describes how to identify the vehicle rate and collision angle based on the model simplification, the theoretical analysis for dealing with the complicated accidents. The common and formulas are studied based on the classical collision mechanics method. The application range, parameters involved in selection and influence of the formulas are analyzed in detail. Finally the program based on C# is developed according to the identified calculation process for vehicle speed of traffic accident. The vehicle speed is obtained by selecting the collision type, entering the relevant accident pattern, inputting the parameters and clicking the command button .The application can store, modify and display results conveniently , improve efficiency on vehicle speed identification effectively and reduce the processing cycle of traffic accident availably.

Abstract: Developed a lane changing assistance system that advises drivers of safe gaps for making lane changes. Minimum Bayes risk decision and the minimum error Bayes decision used by the lane changes model and the decision making based on Bayesian networks is proposed. The U.S. Highway 101 vehicle trajectory data set from the Next Generation Simulation (NGSIM) were used for model training and testing. Aim to predicted driver decisions on whether to change or not. By using this method, the minimum Bayes risk decision prediction accuracy was 66.00% for non-change events and 79.92% for change events, and the minimum error Bayes decision prediction accuracy was 73.35% for non-change events and 84.10% for change events.

Abstract: The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

Abstract: The advanced transportation management and information systems (ATMIS) are strengthening the capability of collecting multi-source traffic data constantly from the road networks. Considering the fundamental role of dynamic Origin-Destination data for many advanced traffic management systems, it is promising to apply the multi-source traffic data to improve the dynamic OD estimation. Targeting dynamic OD data estimation, the classical OD data estimation approaches are discussed, and a framework of dynamic OD estimation based on multi-source traffic data is proposed and analyzed. Future researches are recommended in the end.

Abstract: In order to study the driver's decision-making behaviors of the conflict vehicles in non-signalized intersection, according to time refinement, the driver's personality factors and the relative potential factors in the different strategies which affect the driver to make decisions, Based on the dynamic reduplicate game theory, the utility function of the driver's behaviors was built up. As the decision-making behavior by the driver in the process of cross-road, analyzing the different combination of the utility of the driver's decision-making behavior, Nash equilibrium was existed in a single game process, and the driver's optimal decision behaviors in a dynamic game was obtained. The illustration shows that impulse drivers in the decision-making period of time are more willing to choose to accelerate the first strategy; mild drivers prefer to choose acceleration strategy or uniform strategy; cautious drivers prefer to choose to uniform or deceleration strategy.

Abstract: While vigorously promoting sustainable urban transport development today, as the most basic mode of transportation, pedestrian traffic draws people's attention. Meanwhile, China's urban population has seen a accelerated aging trend, which will have higher requirements in pedestrian traffic environment. This paper discusses the characteristics and position of pedestrian traffic, analyzes the main problems of current domestic pedestrian traffic and proposes countermeasures.

Abstract: Analytic Hierarchy Process (AHP), which needs less information and shorter time on decision-making, is selected for road traffic safety evaluation in this paper. Combined with the instance in Huai Yin district of Jinan city, the structural model that includes road conditions, intersections, straight sections, bends and ramps is proposed. Delphi method was used to construct the judgment matrix and then the MATLAB was used to calculate the corresponding weights of the various index of the entire road system. Combined with self-assessment of each index, then the safety level of the road is figured out.

Abstract: The behavior of pedestrians around the corner of a room or a corridor is one of the most important features in pedestrian evacuating dynamics. In order to study this in detail, an existing potential field model is modified to capture the pedestrian dynamic around corner by introducing a local density parameter. The local density parameter of a cell is defined as the pedestrian occupancy of the surrounding eight neighbors. Simulations are carried out to study pedestrian evacuation in rooms with corners formed by internal obstacles and walls. The simulation results show that the new model can reproduce the empirical pedestrian dynamics around corner. Pedestrians prefer to walk to lower pedestrian density area although the route may be a little longer. It is also shown that the total evacuation time could be reduced for the evacuation corridor is fully utilized.

Abstract: In 2011, with the rate of urbanization beyond 50%, china has comprehensively stepped into a period of fast-speed urbanization. Yichang, the World hydroelectric capital, is dreaming about the new target of being a megacity, while realizing the goal of being a big city now. With the sharp increased urban population, Yichang will face enormous pressure caused by transportation and environment in the future. Aimed at studying the feasibility of carpool in Yichang, the research group - " Green Ribbon " conducted a research to receive feedback after the practice was performed, the aim of the research is providing reference to the promotion of the carpool in Yichang, advocating low-carbon travel, propagating positive energy.

Abstract: In order to reveal the effect mechanism of travel information service level for drivers travel time prediction error, defined the concept of travel information service level and travel time prediction error. Utilize the conceptual model, described the various influence factors of travel information service level and interaction relations. Discussed the relationship between the drivers travel information receiving preference habits and the road selection, analyzed the effect of the influence factors on drivers' road selection and travel time prediction, based on Bayesian methods analyzed the effect of different travel information service level for travel time prediction error. The calculation shows that the higher travel information service level can improve the drivers travel time prediction, increase the travel information service level play an important role for the efficiency of drivers travel, and provide theoretical support for planning and construction of travel information system on the future.