基于视觉识别的线控制动压力滑模控制

制动安全是车辆主动安全的关键技术之一.制动决策和执行器控制是影响线控制动系统性能的两个主要因素.路面自适应性和控制器鲁棒性分别对制动决策和执行器控制有着重要影响,制约着线控制动系统的发展.本文中以一种液压调控的线控制动系统为基础,针对路面自适应性和控制器鲁棒性问题,提出一种双层结构的制动系统控制器,上层采用计算机视觉的...     

Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners

This research investigates factors that influence opinion in the decision to fly on fully autonomous passenger airliners primarily from the perspective of aviation and technology professionals. Bayesian statistical inference and a two‐level fractional factorial survey are used to sample passengers' views on fully autonomous airliners. Eight trust, safety, and cost factors are incorporated into a vignette set in the future. Factors include automation levels, safety records, liability guarantees, airline integrity, and service disruptions. Dependent variables exist in five post‐vignette questions and essentially ask “Would you” or “Would you not” be willing to fly on a fully autonomous airliner? Sixteen versions of the vignette, each with unique trust, safety, and cost levels, present varying (unknown) degrees of influence to the survey respondents. For every demographic, the research shows a 99% statistically significant difference between the “prior” and “posterior” sampled population proportions willing to fly. The most significant positive influence involves integrity characteristics of the airline, while the most negative influence relates to life insurance liability guarantees. Research from 2003 suggested that this mode of travel would be acceptable to only 10.5% of respondents. When the 2003 research is used as a Bayesian prior probability, the resulting posterior probability for the demographics sampled can be modeled as a beta distribution, indicating 95% probability that the sampled proportion of the population willing to fly is between 33.2% and 36.4%. After adjusting for age and profession demographics to match the US population, the 95% probability bounds on the proportion willing to fly are 31.35% and 34.15%. Copyright © 2015 John Wiley & Sons, Ltd.     

Modelling and Analysis of Turning Motion of a Subsurface Mapping AUV with Split-Hull Design

There is much need for autonomous underwater vehicles (AUVs) for inspection and mapping purposes. Most conventional AUVs use torpedo-shaped single-rigid hull, b...     

中长周期波浪条件下船舶航迹带宽度研究

针对现行《海港总平面设计规范》中航迹带宽度计算在中长周期波浪条件下存在的不足,对比分析国外航道规范中的研究成果,并通过船舶操纵模拟试验等技术手段,运用船舶外缘包络线法统计分析了不同航速、不同吨级的散货船在各种中长周期波工况下的航迹带宽度,给出了中长周期波浪条件下的波浪附加宽度参考值,并与国外规范中的设计取值进行了对比.     

Transportation infrastructure improvement and real estate value: impact of level crossing removal project on housing prices

This paper studies the impact of removing the level crossing, which constitutes traffic hazard to the society, on house prices by conducting a quasi-natural experiment using the Level Crossing Removal Project (LXRP) implemented by the Victoria state government in Australia since 2015. Using a difference-in-differences method, we analyzed the changes in housing prices due to the improvement of transportation infrastructure, gauging the LXRP’s impact on house and unit submarkets separately. We found that the prices for house and unit markets increased significantly after the removal of level crossings, with the value uplift decreasing with distance from the removal site. This paper contributes to the existing literature by adding an empirical study related to the enhancement of infrastructure aiming to improve the traffic safety in the urban context. Unlike previous studies, this study examines the effect of improvement projects for existing infrastructure and provides relevant implications to improve the efficiency of investing public resources in infrastructure improvement.

     

台北公共交通月及无车日活动回顾与展望

台北国际无车日自2002年起举办了5次,由最早的骑自行车活动扩大至包含“走路上学日”与“公共交通月”丰富多彩的系列活动,渐渐获得民众认同。无车日活动的目标是通过活动的倡导和社会参与来改变民众使用交通工具的行为,潜移默化的效应可促使形成可持续交通政策,当可持续交通政策与基础设施建设落实后又可具体改变交通环境,形成良性的循环机制。首先说明了“无车日”的由来,并回顾台北都会区过去5年来举行无车日系列活动的内容与经验,同时基于活动的发展与成果归纳出无车日活动的成功要素,最后提出未来活动将扩大举办的内容、方式与展望,以期能为其他城市作参考。     

山区峡谷非均匀风场下大跨度斜拉桥静风稳定性分析

为研究山区峡谷地形下非均匀风场对大跨度桥梁静风稳定性的影响,以一座跨越典型山区峡谷地形的大跨度斜拉桥为工程背景,首先,采用计算流体动力学（CFD）软件Fluent对桥址区地形的风场特性进行分析,计算出沿主梁方向的非均匀风速和非均匀风攻角分布;然后,采用ANSYS APDL技术实现能考虑非均匀风速和非均匀风攻角下大桥静风稳定性的非线性分析方法。在此基础上,综合考察非均匀风攻角分布、非均匀风速分布、非均匀风速非均匀风攻角分布等风场条件对大桥静风稳定性的影响,分析各工况下主梁的静风变形与跨中处拉索刚度变化。研究结果表明：与均匀风场条件下的静风响应不同,非均匀风攻角或非均匀风速下主梁静风响应最大值点位于风荷载峰值点与跨中之间,在针对非均匀风场下大桥的静风稳定性分析时,应更注重静风响应最大值点而不是跨中处;非均匀风攻角下大桥的静风失稳临界风速要远低于均匀风攻角的静风失稳临界风速,且其静风稳定性能主要受最大风攻角而不是主跨部分非均匀风攻角的平均值来控制;非均匀风速下大桥的静风失稳临界风速主要由主跨部分的风速平均值和最大值共同影响;主梁的竖向位移和扭转角形状主要由风攻角因素来控制,而横向位移的变化规律相对较独立,其形状基本上以跨中线对称,且其值主要由风速因素来决定。     

Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and archive large amounts of data on the traffic system. These data can be used to estimate current conditions and predict future conditions on the roadway network. A general solution methodology for identifying the optimal aggregation interval sizes for four scenarios is proposed in this article: (1) link travel time estimation, (2) corridor/route travel time estimation, (3) link travel time forecasting, and (4) corridor/route travel time forecasting. The methodology explicitly considers traffic dynamics and frequency of observations. A formulation based on mean square error (MSE) is developed for each of the scenarios and interpreted from a traffic flow perspective. The methodology for estimating the optimal aggregation size is based on (1) the tradeoff between the estimated mean square error of prediction and the variance of the predictor, (2) the differences between estimation and forecasting, and (3) the direct consideration of the correlation between link travel time for corridor/route estimation and forecasting. The proposed methods are demonstrated using travel time data from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system of the Houston Transtar system. It was found that the optimal aggregation size is a function of the application and traffic condition.

CFD Analysis of Ship-to-Ship Hydrodynamic Interaction

A numerical study of ship-to-ship interaction forces is performed using a commercial CFD code, and the results are compared with experimental data and with the results of a panel method analysis. Two ship models have been used in the interaction forces analysis: a tug and a tanker, advancing parallel to each other with different lateral distances and two different values of the fluid depth. Computations are carried out with four different flow models: inviscid and viscous flow with the free surface modeled as a rigid wall and inviscid and viscous flow with the deformable free surface. A fair agreement was obtained with available experimental data and results obtained by panel method. The influence of viscosity in the computations is found to be comparatively weak, while the wavemaking effects may be important, at small magnitude of the horizontal clearance.