瑞士疗养好去处

Weggis（韦吉斯）,琉森湖边的完美之地 Weggis,坐落在琉森湖边一座宁静的小城,与其说是城市,不如说这里是一个小镇,2万的人口,安静得只能听见清脆的鸟鸣声。湖边青草茵茵,只有几把座椅安静的倚于岸边。两个身着瑜伽服的情侣赤脚踩在草地上,他们或单脚独立,

在瑞士,搭上火车开启童话之旅

在这个全球最纯净、幸福的国度,搭上火车开启了一段童话之旅。在这段旅程里,你不仅可以收获看不够的湖光山色和忆不尽的瑰丽时光,还将被瑞士人对自然和生活的热爱深深打动。如果你是一个无限热爱山峦河流、森林湖泊的人,此生如何能够错过瑞士。如果你是一个无限热爱山峦河流、森林湖泊的人,喜欢沉浸在远离尘嚣的情境中,此生如何能够错过瑞士。

Vehicle actuation based short-term traffic flow prediction model for signalized intersections

Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks.By exploring available detector and signal controller information from neighboring intersections,a dynamic data-driven flow prediction model was developed.The model consists of two prediction components based on the signal states(red or green) for each movement at an upstream intersection.The characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was predicted.With an online turning proportion estimation method,along with the predicted travel times,the anticipated vehicle arrivals can be forecasted at the downstream intersection.The model performance was tested at a set of two signalized intersections located in the city of Gainesville,Florida,USA,using the CORSIM microscopic simulation package.Analysis results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%-20%,and show a normal distribution.It is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems.

Cell transmission model based traffic signal timing in oversaturated conditions

In order to investigate enhancements to cell transmission model (CTM) as a tool for traffic signal timing in oversaturated conditions, randomly distributed saturation flow rates and arrival rates were used instead of constant values to simulate traffic flow movement, estimate the average delay of the network and search for an optimal traffic signal timing plan. A case study was given to demonstrate that the proposed methodology can capture unique phenomena in oversaturated conditions such as forward wave, spillback and lane entrance blockage. The results show that CTM underestimates travel time by 25% when compared to Simtraffic, while the enhanced CTM underestimates by only 3%. A second case study shows that a dynamic signal timing plan is superior to a fixed signal timing plan in the term of average delay.

Research on Behavior on Travel Mode, Going to Metro Station at Ho Chi Minh City

This research presents an analysis of travel mode choice for trips to Ho Chi Minh City metro station. Research methods were inherited through a formula to calculate passenger traffic forecasts to predict passengers, going to the station. Based on the collected data of interviews, traffic surveys, and ＂Irwin ＆ Von Cube＂ function, forecast the proportion of travel mode, and use to go to the station and leaving from the station. The results of study are used for the purpose of calculating the size of the metro station parking lots and parking layout plan.

Blind Deconvolution Processing of Loop Inductance Signals for Vehicle Reidentification

Vehicle reidentification is an elegant solution for gathering several pieces of valuable traffic information, e.g., space mean speed, travel time, vehicle tracking, and origin/destination data. Recently, a number of vehiclereidentification algorithms utilizing inductive loop signals have been proposed to take advantage of the widespread availability of loop detectors. These algorithms, however, all directly utilize the raw inductance signals for pattern matching and feature extraction without deconvolution. The raw loop signals are essentially a convolved output between the true vehicle inductance signature and the loop system function, and thus a deconvolution is needed in order to expose the detailed features of individual vehicles. The purpose of this paper is to present a recent investigation on restoration of true inductance signatures by applying a blind deconvolution process. The main advantage of blind deconvolution over the conventional deconvolution is that the computation does not require modeling of a precise loop-detector system function. Experimental results show that the proposed blind deconvolution reveals much more detailed features of inductance signals and, as a result, increases the vehicle reidentification accuracy.

瑞士推出全新旅行主题:环游火车之路

瑞士交通系统和欧洲铁路公司今年1月起推出"瑞士环游火车之路"全新瑞士旅行主题,目的是将冰川快车、金色山口快车、伯尔尼纳快车、威廉泰尔快线等众多观景列车和登山铁路的线路串联起来,形成一个纵横瑞士景观的铁路网络,鼓励赴瑞士的旅客善用瑞士旅行通票(SWI SSTRAVE L PASS),全方位感受完善、全面的交通系统。瑞士旅行通票可以不受限制地在铁路、公路和水路旅行,并在绝大部分高山铁路线路享受50%的折扣优惠,免费参观全国范围内的480座以上博物馆。

看世界

倒垃圾可以抽奖。在德国,垃圾分为可燃垃圾、不可燃垃圾和资源型垃圾三类,并且倒垃圾的时间和地点都有严格的规定,如果你倒的资源型垃圾(即金属、纸张、塑料等)达到了一定的数量,

号外

Time 2007年5月7日刊亚洲最好时代的年度推荐,列举出亚洲最引人注目的地点和经历。囊括身体、思维和灵魂的各方面体验。中国提到若干处:香港的六人木球赛、重庆大厦、北京的驴肉火烧、曲阜的孔宴。只是,为什么中国大陆,在西方人的眼里,更具代表性的似乎总是和食物相关的那些部分?

Influences and drivers of woody debris movement in urban watercourses

It is recognised that the blockage of culverts by woody debris can result in an increased risk of infrastructure damage and flooding.To date,debris transport analysis has focused on regional fluvial systems and large woody debris,both in flume and field experiments.Given the social and economic risk associated with urban flooding,and as urban drainage design shifts away from subsurface piped network reliance,there is an increasing need to understand debris movement in urban watercourses.The prediction of urban watercourse small woody debris(SWD)movement,both quantity and risk,has undergone only limited analysis predominantly due to lack of field data.This paper describes the development of a methodology to enable the collection of accurate and meaningful SWD residency and transportation data from watercourses.The presented research examines the limitations and effective function of PIT tag technology to collect SWD transport data in the field appropriate for risk and prediction analysis.Passive integrated transponder(PIT)technology provides a method to collect debris transport data within the urban environment.In this study,the tags are installed within small woody debris and released at known locations into a small urban natural watercourse enabling monitoring of movement and travel time.SWD velocity and detention are collated with solute time of travel,watercourse and point flow characteristics to identify the relationships between these key variables.The work presented tests three hypotheses:firstly,that the potential for unobstructed or un-detained SWD movement increases with flow velocity and water level.Secondly,that SWD travel distance,and the resistance forces along this travel path,influence SWD transport potential.Thirdly,the relationship between SWD and channel dimensions is examined with the aim of advancing representative debris transport prediction modelling.