Code-aided interference suppression in direct sequence spread spectrum systems with eigenvector sign spreading code

For direct sequence spread spectrum (DSSS) communication systems suffering interference, it is known that code-aided interference suppression technique outperforms all of the previous linear or nonlinear methods. In this paper, we proposed an improved code-aided technique which can improve the system performance greatly by using the eigenvector sign (EVS) spreading sequence which depends on the statistical characteristics of the interference and the thermal noise. Foundation item: the National Natural Science Foundation of China (No. 60772100)     

三维体系斜拉索桥张拉施工技术应用

该文以天津市新三条石桥为例,介绍了三维斜拉索体系的分级对称张拉工艺及施工操作要点,可供类似工程参考。     

城市轨道交通应急资源选址和配置方法研究

为解决城市轨道交通中的应急救援站选址以及应急救援资源优化配置问题,从最短救援距离、城市地价、救援工具分区限速、救援时间、基于实际运营情况的特殊站点和中心度关系网络的特殊站点等角度,确立供需可达矩阵,建立以救援时间代价以及建设费用之和为最小的应急站选址模型。在救援资源数量确定的情况下,建立关于应急站的资源收益函数,同时根据资源分配 过程具有马尔可夫性,以期望收益值最大为目标确定资源最优配置模型,并运用动态规划逆序法进行求解。最后,以规划中的成都地铁网为例,将其15 个站点作为应急站,计算其需要分配的应急资源数量。实例计算结果表明,所建选址和资源配置模型所得结果满足实际运营要求,因而具有较高的可信度。     

基于车载连续序列图像的道路曲率计算方法

提出一种基于车载连续序列图像的道路曲率计算方法.算法首先利用车载视 觉系统进行内外参数标定实现对路面车道线的三维重建,利用三维重建误差模型对重建 的数据点进行误差估计,并对数据点进行选弃.对序列图像中路面车道线重建出来的曲线 采用ICP 算法进行曲线匹配,并将匹配后的曲线映射到统一的参考坐标系中.最后利用匹 配曲线上的数据点进行圆周拟合,计算道路曲率.实验中利用真实的车载连续序列图像对 算法进行验证.针对曲率半径分别为96 m和430 m两段不同程度的弯道,利用本文算法计 算对应道路的曲率半径.结果表明,本文算法能够精确地计算出不同弯道的道路曲率,特 别是针对平缓弯道的曲率计算,比基于单幅图像的曲率计算方法更加准确与稳定.     

Bikeshare trip generation in New York City

Cities around the world and in the US are implementing bikesharing systems, which allow users to access shared bicycles for short trips, typically in the urban core. Yet few scholars have examined the determinants of bikeshare station usage using a fine-grained approach. We estimate a series of Bayesian regression models of trip generation at stations, examining the effects bicycle infrastructure, population and employment, land use mix, and transit access separately by season of the year, weekday/weekend, and user type (subscriber versus casual). We find that bikeshare stations located near busy subway stations and bicycle infrastructure see greater utilization, and that greater population and employment generally predict greater usage. Our findings are nuanced, however; for instance, those areas with more residential population are associated with more trips by subscribers and on both weekdays and non-working days; however, the effect is much stronger on non-working days. Additional nuances can be found in how various land use variables affect bikeshare usage. We use our models, based on 2014 data, to forecast the trips generated at new stations opened in 2015. Results suggest there is large variation in predictive power, partly caused by variation in weather, but also by other factors that cannot be predicted. This leads us to the conclusion that the nuances we find in our inferential analysis are more useful for transportation planners.     

城市快速路瓶颈交通震荡特性研究

采用基于长期累计值与近期均值比较思想的累计移动序列法对上海市快速路系统中典型瓶颈路段(驶入匝道、驶出匝道)交通震荡的传播速度、振幅以及移动时间步长、背景车速与振幅的关系等特性进行研究。结果发现震荡始于瓶颈排队下游,自下游向上游传播,传播速度保持在20~25 km/h;在不同移动时间步长下,2类瓶颈震荡振幅与移动时间步长的相关系数分别保持在0.9642~0.9998及0.9822~0.9994,表现了高度正相关性;而背景车速与振幅无显著相关性。最后发现,道路基础设施布局影响振幅的变化,震荡传播超越驶入匝道后,振幅被削弱;震荡传播超越驶出匝道后,振幅被放大,该结论可为快速路匝道控制算法提供参考数据。     

ATC 车辆基地咽喉区通过能力计算方法研究

车辆基地发车能力逐渐成为提高早高峰正线运营水平的瓶颈,部分城市开始探索建设自动化列车控制(automatic train control,ATC)车辆基地,针对 ATC 车辆基地收发车能力计算复杂,现有收发车能力计算方法难以应用的弊端,研究了 ATC 车辆基地咽喉区通过能力的计算方法。首先,在 ATC 灭灯模式下,通过比较得到不同列车发车顺序下的最小列车总发车时间;其次,计算得到 ATC 车辆基地的最大咽喉区通过能力;最后以广州萝岗车辆基地为案例,进行 ATC 灭灯模式下咽喉区通过能力计算模型有效性的验证研究。研究结果表明：ATC 灭灯模式、ATC 点灯模式、列调结合模式和列车进路模式下咽喉区通过能力分别为 28、17、13、11 列/h;ATC 灭灯模式较其他 3 种模式有更大的发车能力,能更好地满足早高峰正线的运营需求。研究结果可以为评估车辆基地设计方案提供参考。     

30m装配式预应力混凝土连续T梁施工

介绍了30m装配式预应力混凝土连续T梁的预制、安装以及体系转换。     

白车身侧围焊接机器人焊接作业顺序优化研究

针对轿车白车身焊接机器人作业顺序不合理的问题,采用启发式的节约算法,有效地解决了焊接机器人焊接作业顺序中的最短路径问题,并实现了优化,编写了相应的程序,可以有效地进行焊接作业顺序优化计算。     

A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures

In this paper, we propose a methodology to use the communication network infrastructure, in particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due to the poor quality of WiFi localization, a probabilistic method is proposed that infers activity-episode locations based on WiFi traces and calculates the likelihood of observing these traces in the pedestrian network, taking into account prior knowledge. The output of the method consists of candidates of activity-episodes sequences associated with the likelihood to be the true one. The methodology is validated on traces generated by a known sequence of activities, while the performance being evaluated on a set of anonymous users. Results show that it is possible to predict the number of episodes and the activity-episodes locations and durations, by merging information about the activity locations on the map, WiFi measurements and prior information about schedules and the attractivity in pedestrian infrastructure. The ambiguity of each activity episode in the sequence is explicitly measured.