基于手机传感器数据的交通出行调查实证评估

应用手机传感器与调查问卷, 同步采集了校园内高校学生2周的真实出行轨迹; 考虑了真实出行环境下的手机传感器数据特征, 结合高斯滤波预处理数据, 根据轨迹点的时空聚类特性, 用时空聚类算法识别了出行端点和出行时间, 结合轨迹点速度、加速度特征, 利用支持向量机识别了出行方式; 将手机传感器数据与调查问卷、查核线数据对比, 分析了手机传感器数据出行特征识别的准确程度, 验证了出行特征的提取效果。分析结果表明: 手机传感器与问卷调查识别出行链的成功匹配比例为81.66%, 说明手机传感器数据可有效记录出行轨迹; 时空聚类算法参数中核心点空间半径为26.92 m, 最小样本点为129, 时间约束为129 s时, 出行端点识别准确率为93.02%, 出行时间识别准确率为90.84%, 说明手机传感器识别出行端点和出行时间的效果较好; 当支持向量机设置类型为经典支持向量机, 核函数为径向基函数, 惩罚系数为0.797, 核参数为2.260时, 出行方式识别准确率为89.86%, 即利用手机传感器能够有效识别出行方式。可见, 手机传感器数据识别结果合理, 能为手机传感器数据应用于实际出行调查做支撑。     

印度应对城市机动化策略

为应对快速的城市机动化进程及其带来的负面影响,印度政府早期采取诸如修建立交桥和拓宽道路等办法,结果却导致了更多的机动车数量增加和更严重的交通拥堵。为此,印度政府实施了＂国家城市交通政策＂,重点投资公共交通和非机动交通方式;同时还制定了＂国家城市更新计划＂,以此建立鼓励地方政府执行国家政策的激励机制,提高对城市基础设施的投资水平。这些创新政策的实施,推动了一系列公共交通项目的发展,也促进了城市内部交通体制改革和城市综合交通发展规划的制定。     

Measurement of hydrocarbon and carbon monoxide emissions during the starting of automotive DI Diesel engines

Most of hydrocarbon (HC) and carbon monoxide (CO) emissions from automotive DI Diesel engines are produced during the engine warm-up period and are primarily caused by difficulties in obtaining stable and efficient combustion under these conditions. Furthermore, the contribution of engine starting to these emissions is not negligible; since this operating condition is highly unfavorable for the combustion progress. Additionally, the catalytic converter is ineffective due to the low engine temperature. In conjunction with adequate engine settings (fuel injection and fresh air control), either the glow plugs or the intake air heater are activated during a portion of the engine warm-up period, so that a nominal engine temperatures is reached faster, and the impact of these difficulties is minimized. Measurement of gaseous pollutants during engine warm-up is currently possible with detectors used in standard exhaust gas analyzers (EGA), which have response times well-suited for sampling at such transient conditions. However, these devices are not suitable for the measurement of exhaust emissions produced during extremely short time intervals, such as engine starting. Herein, we present a methodology for the measurement of the cumulative pollutant emissions during the starting phase of passenger car DI Diesel engines, with the goal of overcoming this limitation by taking advantage of standard detectors. In the proposed method, a warm canister is filled with an exhaust gas sample at constant volumetric flow, during a time period that depends on the engine starting time; the gas concentration in the canister is later evaluated with a standard EGA. When compared with direct pollutant measurements performed with a state-of-art EGA, the proposed procedure was found to be more sensitive to combustion changes and provided more reliable data.     

空心板材固有频率的求解及优化设计

用扩展Ｄｉｒａｃ函数一表示空心板材在刚度以及质量密度上由空洞而引起的非连续变化,从而不连续函数的求解问题为连续函数的求解问题,继而用Ｇａｌｅｒｋｉｎ法对其固有频率进行了求解,得到了适应于任意大小、任意分布空调的空心板材的固有频率计算公式。计算结果显示：空心板材的固有频率不仅与板材的几何尺寸有关,而且还与各空调的位置即分布方式有关,除此之外还与混凝土的Ｐｏｉｓｓｏｎ比有关。     

Texture Development of a Cold-rolled CuZnAl Alloy

lIntroductionTheCu26Zn-5Al-0.7Ti(wt%)allOysareshaPeIneInOryalloys.PolytwstallineshaPempalloysareingeneralusedinengineeringaPPlicatons.TheshapempeffectsarecloselyrelatedwiththetextUresforthesing1ecrystalshavetheshmplyanisotrOPicPfOPetw[l-3].ItwasshownthatextUredshaPempal1oyspossessedthebettershaPememOryeffectsthannontextUrdones[4].Cu-basedallOystendeasilytOgrowintolnyegrainsinhotrolling,andarenosultabletocoldrollingbecausethe0PhasehasalowmalleabilityatroomtemperatUre.FortheCuZnAlal…     

Empirical approach for predicting the cetane number of biodiesel

The cetane number is an indicator of ignition quality and thus of fuel quality in the realm of diesel engines. It is conceptually similar to the octane number used for gasoline. Generally, a compound that has a high octane number tends to have a low cetane number and vice versa. The cetane number of a diesel fuel is related to the ignition delay time. In our work the first approach is a statistical one the accuracy of which depends upon the data obtained from various papers and literature sources, as all equations used were based on this data. During prediction using more than one equation is a good approach, as it provides the accuracy as well as the relative error. The second approach is also a statistical one, but its value depends upon the saponification number and iodine value. Therefore the accuracy of this equation may be higher, since we can collect the data for saponification numbers and iodine values from literature, without needing to calculate them. Using the saponification number and iodine value we can select an optimal biodiesel as generally a good biodiesel is selected using these three values. Thus the second approach allows us the freedom to select a biodiesel.     

Effect of fuel injection strategies on the combustion process in a PFI boosted SI engine

A low-cost solution based on fuel injection strategies was investigated to optimize the combustion process in a boosted port fuel injection spark ignition (PFI SI) engine. The goal was to reduce the fuel consumption and pollutant emissions while maintaining performance. The effect of fuel injection was analyzed for the closed and open valve conditions, and the multiple injection strategies (MIS) based on double and triple fuel injection in the open-valve condition. The tests were performed on an optical accessible single-cylinder PFI SI engine equipped with an external boost device. The engine was operated at full load and with a stoichiometric ratio equivalent to that of commercial gasolines. Optical techniques based on 2D-digital imaging were used to follow the flame propagation from the flame kernel to late combustion phase. In particular, the diffusion-controlled flames near the valves and cylinder walls, due to fuel deposition, were studied. In these conditions, the presence of soot was measured by two-color pyrometry, and correlated with engine parameters and exhaust emissions measured by conventional methods. The open valve fuel injection strategies demonstrated better combustion process efficiency than the closed ones. They provided very low soot levels in the combustion chamber and engine exhaust, and a reduction in specific fuel consumption. The multiple injection strategies proved to be the best solution in terms of performance, soot concentration, and fuel consumption.     

The annual cycle of nanoflagellates in the Central Cantabrian Sea (Bay of Biscay)

The annual cycle of nanoflagellates (NF) including autotrophic (ANF), heterotrophic (HNF) and mixotropic (MNF) flagellates carried out in a temperate sea (Central Cantabrian Sea, southern Bay of Biscay) is presented. Three stations with characteristics ranging from coastal to oceanic conditions were analysed in order to compare NF response to this gradient. Samples were monthly collected at each station at three different depths between February 2002 and December 2002. CTD profiles were also taken at each station. NF were grouped according to their trophic status into ANF, HNF and MNF. Abundance and biomass were determined for each group. The annual cycle showed a general pattern consisting in a maximum in July with secondary maxima in March and October and minimum values in May. ANF were the most important fraction, making a major contribution (nearly 75%) to total NF biomass in all stations. HNF represented over 20% along the cycle, except for a peak in spring found in every station. MNF reached less than 5%, showing low seasonability. Small flagellates (2–5 µm) dominated throughout the cycle. Microplankton community was also analysed in terms of abundance and biomass. A significant positive correlation (r² = 0.49) was obtained between 2–5 µm NF and 10–20 µm HNF–MNF biomasses, suggesting a possible trophic relationship between these groups which should be cautiously taken. No significant relationships were found between microplankton and NF or between nutrients and ANF, indicating that the regulation of NF numbers is complex and probably implicates other groups. In addition to this, the unexpected 2002 Chl a concentration pattern and the misplacing of upwelling events render necessary to perform additional studies to fully understand the precise behaviour of NF in the Cantabrian Sea. To the best of our knowledge, this is the first study of a NF cycle in a temperate sea that considers all functional groups.     

When strike comes to town… anticipated and actual behavioural reactions to a one-day,pre-announced,complete rail strike in the Netherlands

We conducted secondary analysis on data collected among rail users, days before and after a national rail strike in the Netherlands. Our aim was to compare anticipated and actual behavioural reactions to the rail strike, investigate associations with traveller and trip characteristics, and perceived behavioural control and satisfaction with the chosen alternative. Forty-four percent of the people who had anticipated to travel by train on the day of the strike abandoned their trip, 24% switched to car as driver, 14% switched to another mode (as passenger), 18% stayed with the train and rescheduled the planned activity to another day. Almost half of people who had anticipated travelling by car expected to change behaviour as well. Multinomial logistic regression showed low preference for car among rail users. Considerable marginal effects were found for several variables, e.g.: young people and females were less likely to switch to car; short and middle distance trips were less likely abandoned or switched to another day; commute and business trips were more likely done by car, and business trips less likely cancelled. Despite high levels of perceived behavioural control and satisfaction with the chosen alternative, permanent modal shift as result of this strike is not expected.     

Predicting the chloride penetration of fly ash concrete in seawater

In this study, a model for predicting chloride penetration in fly ash concrete under long-term exposure in a marine environment is developed. The empirical model was based on 2-, 3-, 4-, and 5-year investigation of concretes in a marine site. Regression analysis of the data was carried out by applying Fick's second law of diffusion to generate an empirical formula for predicting chloride concentration in concrete. The model uses the water to binder (W/B) ratio, fly ash content, distance from the concrete surface, and exposure time. Model validation revealed that the predicted chloride concentration levels were within a ±25% error margin (R² = 0.91 ? 0.99) in the samples used to develop the model. The model was also verified using data from previous laboratory and field studies. Most predicted chloride concentration levels were within a ±30% margin of error from field samples. The model also predicted the strong effect of fly ash and W/B ratio on reducing chloride diffusion in concrete. Results clearly indicated that a high volume fly ash replacement (up to 50% by weight of binder) and a low W/B ratio will yield good chloride resistance in concrete under long-term exposure in a marine environment.