莫斯科地铁的特点及对我国地铁的启示

全面介绍莫斯科地铁在线网规模、车站设计、运营组织等方面的理念及特点,详细分析莫斯科地铁客流量大、运营效率高的原因,以期为我国未来地铁发展提供借鉴.     

波罗轿车的被动安全性设计综述

被动安全性是轿车开发中的一项重要内容，对于小型轿车由于其车身尺寸较小，显得更加重要。波罗轿车的被动安全性设计是建立在大众公司多年公司多年来对全世界各种碰撞安全法规和交通事故的研究基础之上，涵盖了正面、偏置、侧面、后部、翻滚以及车对车碰撞等各个方面，为小型轿车的被动安全性树立了典范。     

凌志LS430轿车电动倾斜和伸缩转向柱的故障诊断与维修

介绍了2001款凌志LS430型轿车电动倾斜与伸缩转向柱的组成和功能。该转向柱系统具有故障自诊断功能。介绍了故障码B2602钥匙开锁警告开关电路故障、故障码B2610倾斜位置传感器或电动机电路故障等的诊断。另外，介绍了执行器电源电路和ECU电源电路、倾斜电动机和伸缩电动机电路等的俭修     

小型铣刨机车体升降油缸动态过程的分析

通过对小型铣刨机车体升降系统的简化,建立了液压缸运动速度与流量的传递函数,并且在系统参数静态设计方法的基础上,考虑了系统参数对其动态特性的影响.     

网络条件下高速公路收费费率优化方法研究

以区域公路网为研究对象,在分析高速公路收费费率与交通量之间关系的基础上,建立收费费率优化双层规划模型,兼顾经营者和使用者的利益,并考虑路网交通流分布,设计了模型的实用求解算法。该方法弥补了已有方法多以运输通道为研究对象的不足之处,可以在收费系数确定的情况下根据优化目标直接得到优化结果,具有较为广泛的适用性。     

利用公交通行能力解决公交问题的探讨

分析我国公交的发展,指出在我国发展公交的道路上缺乏对公交通行能力这一重要指标的思考,提出研究公交通行能力来解决我国公交运营中存在的问题,并建立公交(包括公交车辆和公交乘客)通行能力模型。然后以北京中关村大街的公交专用道为实例,从公交通行能力方面分析该段道路公交车拥堵、混乱产生的原因,然后根据实际情况提出解决措施。     

车辆折算系数的分类及算法

提出了标准车的选择原则:车长等于约定的长度;当交通流密度很小时,以道路设计速度行驶;驾驶员遵守交通规则。定义了微观车辆折算系数:交通流全部由标准车组成时的流量与交通流全部由某种车组成时的流量之比。定义了聚类车辆折算系数:组成该类车型的所有自然车的微观折算系数与组成比例的乘积之和。定义了宏观车辆折算系数:组成混合交通流的所有自然车的微观折算系数与组成比例的乘积之和。计算了这三种车辆折算系数。     

Implementation and application of a stochastic aircraft boarding model

The aircraft turnaround processes is mainly controlled by the ground handling, airport or airline staff, except the aircraft boarding, which is driven by the passengers’ experience and willingness or ability to follow the proposed boarding procedures. The paper uses a prior developed, calibrated, stochastic aircraft boarding model, which is applied to different boarding strategies (chronological order of passenger arrival, hand luggage handling), group constellations and innovative infrastructural changes (Flying Carpet, Side-Slip Seat, Foldable Passenger Seat). In this context, passenger boarding is assumed to be a stochastic, agent-based, forward-directed, one-dimensional and discrete process. The stochastic model covers individual passenger behavior as well as operational constraints and deviations. A comprehensive assessment using one model allows for efficient comparison of current research approaches and innovative operational solutions for efficient passenger boarding.     

Investigation of tailpipe and evaporative emissions from China IV and Tier 2 passenger vehicles with different gasolines

The limited understanding of vehicular emissions in China, especially evaporative emissions, is one obstacle to establishing tighter standards. To evaluate tailpipe and evaporative emissions, two typical China IV vehicles and one Tier 2 vehicle with an onboard refuelling vapour recovery (ORVR) system were selected and tested. One of the China IV vehicles was fuelled with gasoline, E10 and M15, respectively, to investigate the effect of fuel properties on vehicular emissions. For each vehicle, cold-start tailpipe emission tests were conducted first, followed by an evaporation test. Based on the emission factors and real-world vehicle activity data, the annual tailpipe and evaporative hydrocarbon (HC) emissions of each vehicle were calculated and compared. The results show that E10 and M15 significantly reduced the tailpipe CO and particle number (PN) emissions but seriously aggravated the NOx emissions, especially for M15. The hot soak losses (HSLs) and diurnal breathing losses (DBLs) were slightly impacted by the fuel properties. The annual evaporative emissions with E10 and M15 were higher than that with gasoline. The ORVR system effectively controlled the evaporative emissions, especially for DBLs. Evaporative emissions from the China IV vehicles were 1.1–1.4 times the tailpipe HC emissions. Additionally, the evaporative emission factors of the China IV vehicles were almost 50% lower than the standard (2.0 g/test), whereas their annual evaporative emissions were almost 1.8–2.8 times higher than those from the Tier 2 vehicle. Therefore, controlling evaporative emissions currently remains a great need in China, and the ORVR might be a recommended evaporative control technology.     

Estimating traffic volumes for signalized intersections using connected vehicle data

Recently connected vehicle (CV) technology has received significant attention thanks to active pilot deployments supported by the US Department of Transportation (USDOT). At signalized intersections, CVs may serve as mobile sensors, providing opportunities of reducing dependencies on conventional vehicle detectors for signal operation. However, most of the existing studies mainly focus on scenarios that penetration rates of CVs reach certain level, e.g., 25%, which may not be feasible in the near future. How to utilize data from a small number of CVs to improve traffic signal operation remains an open question. In this work, we develop an approach to estimate traffic volume, a key input to many signal optimization algorithms, using GPS trajectory data from CV or navigation devices under low market penetration rates. To estimate traffic volumes, we model vehicle arrivals at signalized intersections as a time-dependent Poisson process, which can account for signal coordination. The estimation problem is formulated as a maximum likelihood problem given multiple observed trajectories from CVs approaching to the intersection. An expectation maximization (EM) procedure is derived to solve the estimation problem. Two case studies were conducted to validate our estimation algorithm. One uses the CV data from the Safety Pilot Model Deployment (SPMD) project, in which around 2800 CVs were deployed in the City of Ann Arbor, MI. The other uses vehicle trajectory data from users of a commercial navigation service in China. Mean absolute percentage error (MAPE) of the estimation is found to be 9–12%, based on benchmark data manually collected and data from loop detectors. Considering the existing scale of CV deployments, the proposed approach could be of significant help to traffic management agencies for evaluating and operating traffic signals, paving the way of using CVs for detector-free signal operation in the future.