山地城市支路有效间距研究

合理控制支路系统的规划指标对于畅通城市交通微循环、完善道路网系统具有重要作用.山地城市道路非直线系数往往较大,且干路沿线交叉口多采用右进右出的控制方式,导致路网容量、转向比例等指标不能客观地反映出行者到达目的地的便捷程度.针对山地城市支路建设的特点,提出有效间距的概念,构建能够综合反映交叉口转向、路段绕行和小区内部步行时间的道路网连通效率指标,并通过模拟分析得到支路有效间距的最优值.研究结果表明:支路有效间距宜控制在200 m以内,且最优指标值随着步行速度的增加而单调上升;当支路非直线系数增大时,提高交叉口密度有助于保障道路网络的连通效率.     

An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles

Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose a single alternative) to better understand their relative preferences. Despite the widespread interest in collecting data on and modeling people’s preferences for choice alternatives, rank-ordered data are rarely collected in travel surveys and very little progress has been made in the ability to rigorously model such data and obtain reliable parameter estimates. This paper presents a rank ordered probit modeling approach that overcomes limitations associated with prior approaches in analyzing rank ordered data. The efficacy of the rank ordered probit modeling methodology is demonstrated through an application of the model to understand preferences for alternative configurations of autonomous vehicles (AV) using the 2015 Puget Sound Regional Travel Study survey data set. The methodology offers behaviorally intuitive model results with a variety of socio-economic and demographic characteristics, including age, gender, household income, education, employment and household structure, significantly influencing preference for alternative configurations of AV adoption, ownership, and shared usage. The ability to estimate rank ordered probit models offers a pathway for better utilizing rank ordered data to understand preferences and recognize that choices may not be absolute in many instances.     

驾驶人“感知-决策-操控”行为模型

为准确模拟驾驶人跟车行为，提出基于隐马尔可夫模型(Hidden Markov Model，HMM)的驾驶人“感知-决策-操控”行为模型。建立描述驾驶意愿的HMM模型，模拟驾驶人感知过程，获得期望的车间距；预测模块模拟驾驶人根据交通环境和自身生理、心理状态预测车辆未来轨迹，即决策过程；优化模块描述驾驶人为使预测的车辆轨迹跟踪上期望的车辆间距而采取的操控汽车的执行动作，即操控过程。上述3个模块的滚动过程实现了对驾驶人跟车行为的模拟。利用自然驾驶数据进行算例分析，结果表明，本文模型预测车间距平均误差仅为1.47%，证明了所建模型的有效性及准确性。本文为驾驶行为建模方法的理论研究和应用拓宽了思路。     

柴油机增压器包覆层隔声性能试验分析及优化设计

提出一种船用增压器的包覆层结构,其内层为绝热材料和吸声材料,外层为金属薄片。采用统计能量法(SEA)建立该结构的中高频段隔声数值模型,开展包覆层的隔声试验,隔声量实测值与仿真结果吻合较好,能验证数值建模的有效性。对包覆层的吸声材料的厚度、密度和流阻等参数进行优化设计,利用正交试验法设计数值试验组,采用极差和方差分析法分析影响材料隔声性能的关键因素,得出最重要的影响因素是材料厚度,在选型设计中还应考虑密度和流阻因素。当安装厚度受限时,可通过改变密度和流阻值来提高材料的隔声量。     

Improving the coexistence of offshore wind farms and shipping: an international comparison of navigational risk assessment processes

The continued growth and evolution of the offshore wind industry, and the emergence of other novel marine uses such as wave and tidal generators, have upped the ante for spatial planners, as well as consenting and approval authorities in various coastal states. These stakeholders rely on processes such as navigational risk assessments (NRAs) to balance safety and efficiency requirements and to make optimal decisions over use of space. Given the increasingly complex and crowded seascape, however, there are some apprehensions about potential shortcomings in these NRA processes. There is also some concern that these inadequacies may lead to unsafe or inefficient marine spatial use. To understand how NRA processes can be improved further, a literature review is conducted, followed by a survey of respondents who are involved in the planning, consenting and/or approval of offshore wind farms across seven different countries. A summary of the NRA processes in these seven countries is presented, and several shortcomings are identified. Based on the findings of the survey, a list of recommendations is presented to enhance existing NRA processes—and to improve the coexistence of shipping and offshore wind farms (OWFs).     

DYNAMIC HUNTING EXTREMUM CONTROL METHOD BASED ON MEASURE AND ESTIMATION

Anextremumcontrolsystembasedoncommonhuntingmethods[1 ] cannotworkwellforindustrialprocesses:becauseofthesysteminertialandtimedelayinfluences,thesystemwillbecomeoscillat ing ,workinwrongstepsorwillbehuntingforalongtimefortheworking process.Thepreviousmethod[2 ] canonlyapplytothesystemthathasafastdynamicprocessoritsdynamicresponsecanbeignored .Thispaper proposedadynamichuntingmethod differencepre estimationandcomparisonmethod .Thismethodcanbeusedinsecond orderorhighordersystemswithlargetimecons…     

126例涎腺肿瘤的免疫组织化学研究

利用S-100蛋白抗体对126例涎腺肿瘤（多形性腺瘤、恶性多形性腺瘤、粘液表皮样癌、腺样囊性癌、基底细胞腺瘤和乳头状囊腺瘤等）进行了免疫组化研究。结果发现:5种肿瘤中都有瘤细胞或部分瘤细胞表达S-100蛋白;但乳头状囊腺瘤的肿瘤性上皮则呈S-100蛋白阴性反应。提示:S-100蛋白抗原在涎腺肿瘤性肌上皮细胞中均有表达。     

A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS

Inindustrialprocessesself searchingoptimumcontrolsystemshavebeenwidelyused ,becausetheydonotneedamathematicalmodel,whichhaveblockdiagram (seeFig .1) .Theprincipleistomakethecontrolsystemreachitsoptimumoperatingstatebycontinuousmeasuringandcontrolling.Thenec essaryconditionisthattheplantsmusthaveanex tremumcharacteristic[1 ] .Thekeyofself searchingoptimumcontrolishowtofindthesystemextremum pointautomati cally .Therearemainlytwokindsofself searchingmethods,whicharethecontinuoussearchingandthest…     

血清CPK、LDH、GOT和LAP活性对急性颅脑损伤的诊断价值

对８０例急性颅脑损伤患者血清ＣＰＫ、ＬＤＨ、ＧＯＴ和ＬＡＰ活性进行了测定。结果显示，急性颅脑损伤后血清ＣＰＫ和ＬＤＨ活性显著升高（Ｐ＜０．０５），而血清ＧＯＴ和ＬＡＰＩ活性升高不明显（Ｐ＞０．０５），至于血清酶活性对判断急性颅脑损伤的脑损伤程度和患者预后的价值有待继续探讨。