基于战术动作的舰艇作战指挥过程建模

针对舰艇作战过程的模拟仿真,在分析了舰艇作战指挥过程的构成与特性的基础上,将舰艇作战过程分解为我、敌及战场环境3个动作序列,并提出了基于作战过程分解的态势模型。进一步将作战过程分解为基本战术动作,并分析了作战目的和态势对作战动作转换的驱动机制,建立了基于基本战术动作的舰艇作战过程模型。     

土工格栅加筋填挖交界路基离心模型试验研究

通过土工离心模型试验,对填挖交界路基处不同的土工格栅加筋方案对于不均匀沉降的处治效果进行研究。通过测量填挖交界路基表面测点的沉降量和位移变化,分析土工格栅铺设的层数对填挖交界路基不均匀沉降和路基整体稳定性的改善作用,因此根据对比试验获得最佳的处治方案。试验研究结果表明:铺设两层土工格栅对填挖交界路基不均匀沉降的效果要优于只铺设一层的,而铺设一层土工格栅对填挖交界路基不均匀沉降的效果要好于不铺设土工格栅的。     

混合动力整车控制策略仿真研究

摘要：在详细介绍混合动力各个系统建模的基础上,建立了东风混合动力中卡在Simulink环境下的前向仿真模型。根据该模型,进行了一些重要的整车功能仿真,并在实车台架上进行了验证,仿真的模型在调试阶段有效缩短了实车调试时间,说明了混合动力控制仿真的价值性。     

PK6113PHEV混合动力城市客车的研发

详细介绍PK6113PHEV混合动力客车的技术特点、工作原理、底盘和车身设计。     

基于晕动症的汽车舒适性研究

晕动症是评价汽车舒适性的一个重要方面,为有效提高乘客抵抗晕动症的能力,提高其在汽车上的舒适性,研究了汽车上引起乘客的晕动症的因素的问题,通过对晕动症模型的建立,并对其主要因素进行探讨。结果表明该晕动症模型是一种有效的降低晕动症发生率,有效提高汽车舒适性的模型。     

大型舰船纵摇运动的多层递阶预报

主要介绍多层递阶预报原理及其首次在大型舰船纵摇运动预报中的应用实例.仿真结果表明,多层递阶时间序列模型能较好地反映参数的时变特性,取得较精确的预报结果.     

Pricing local emission exposure of road traffic: An agent-based approach

This paper proposes a new approach to iteratively calculate local air pollution exposure tolls in large-scale urban settings by taking the exposure times and locations of individuals into consideration. It explicitly avoids detailed air pollution concentration calculations and is therefore characterized by little data requirements, reasonable computation times for iterative calculations, and open-source compatibility. In a first step, the paper shows how to derive time-dependent vehicle-specific exposure tolls in an agent-based model. It closes the circle from the polluting entity, to the receiving entity, to damage costs, to tolls, and back to the behavioral change of the polluting entity. In a second step, the approach is applied to a large-scale real-world scenario of the Munich metropolitan area in Germany. Changes in emission levels, exposure costs, and user benefits are calculated. These figures are compared to a flat emission toll, and to a regulatory measure (a speed reduction in the inner city), respectively. The results indicate that the flat emission toll reduces overall emissions more significantly than the exposure toll, but its exposure cost reductions are rather small. For the exposure toll, overall emissions increase for freight traffic which implies a potential conflict between pricing schemes to optimize local emission exposure and others to abate climate change. Regarding the mitigation of exposure costs caused by urban travelers, the regulatory measure is found to be an effective strategy, but it implies losses in user benefits.     

指挥决策问题的可拓模型研究

针对指挥决策中含有的大量矛盾、不相容问题,寻求可能的解决途径。引入可拓学理论和方法,采取物元变换思想,对决策系统进行相容度分析,将其中的矛盾、不相容问题转换为相容问题进行处理,最后根据评价准则对方案进行损耗和效果评价。如果决策结果满足决策的目标与要求,就作为决策方案。编队防空仿真实验进一步验证了模型的可行性和合理性,为解决指挥决策中的对立问题提供了依据。     

Deep subterranean railway system: Acceptability assessment of the public discourse in the Seoul Metropolitan Area of South Korea

The objective of this study is to analyze the public acceptability of deep subterranean railway systems, which will be constructed in the space 40 m below ground level and will be operated at twice the speed of the existing subway system. Although such railway systems have been feasible in terms of construction technologies and economics, public acceptability must be considered for the successful introduction of such a new public infrastructure. Therefore, to perform the analysis of public acceptability, a telephone-based survey was conducted for residents in the vicinity of the planned the deep subterranean railway systems. As a result, about 70% of the respondents answered that they took a neutral or opposing attitude to introducing the deep subterranean railway systems. Awareness of the deep subterranean railway systems has a positive impact on its acceptability. In addition, the acceptability is found to show a negative relationship with environment and inconvenience factors. Based on the analysis results, an affective approach through soft measures such as awareness campaigns and advertisements is recommended to effectively address and mitigate the concerns and issues raised by the public.     

Modeling the effect of electric vehicle adoption on pedestrian traffic safety: An agent-based approach

When operated at low speeds, electric and hybrid vehicles have created pedestrian safety concerns in congested areas of various city centers, because these vehicles have relatively silent engines compared to those of internal combustion engine vehicles, resulting in safety issues for pedestrians and cyclists due to the lack of engine noise to warn them of an oncoming electric or hybrid vehicle. However, the driver behavior characteristics have also been considered in many studies, and the high end-prices of electric vehicles indicate that electric vehicle drivers tend to have a higher prosperity index and are more likely to receive a better education, making them more alert while driving and more likely to obey traffic rules. In this paper, the positive and negative factors associated with electric vehicle adoption and the subsequent effects on pedestrian traffic safety are investigated using an agent-based modeling approach, in which a traffic micro-simulation of a real intersection is simulated in 3D using AnyLogic software. First, the interacting agents and dynamic parameters are defined in the agent-based model. Next, a 3D intersection environment is created to integrate the agent-based model into a visual simulation, where the simulation records the number of near-crashes occurring in certain pedestrian crossings throughout the virtual time duration of a year. A sensitivity analysis is also carried out with 9000 subsequent simulations performed in a supercomputer to account for the variation in dynamic parameters (ambient sound level, vehicle sound level, and ambient illumination). According to the analysis, electric vehicles have a 30% higher pedestrian traffic safety risk than internal combustion engine vehicles under high ambient sound levels. At low ambient sound levels, however, electric vehicles have only a 10% higher safety risk for pedestrians. Low levels of ambient illumination also increase the number of pedestrians involved in near-crashes for both electric vehicles and combustion engine vehicles.