地铁车辆基地司机登车平台优化设计

文章通过对地铁车辆基地司机登车平台布置型式及特征研究分析,提出以下观点:①司机登车平台台阶应朝向通道位置;②司机登车平台应安装在司机室司机视角的左侧车门位置;③全自动驾驶地铁,司机登车平台应采取对地绝缘措施;④为更好的适应停车位置的变化和地面施工误差,司机登车平台台面高度应能连续微调.     

风险情境下老年驾驶人行为特性研究

为研究风险情境下老年驾驶人与中青年驾驶人行为特性的差异,并确定老年驾驶人的眼动、心理生理、驾驶操作及风险感知等各类行为特性的衰退情况;选取19位老年驾驶人和19位中青年驾驶人作为试验对象,应用眼动仪、生理仪及驾驶模拟平台开展驾驶模拟试验;采集5种风险场景下2组驾驶人的眼动、心理、生理、操作行为与车辆运行数据;对比分析2...     

A Self-Encryption Remote User Anonymous Authentication Scheme Using Smart Cards

Introduction Remoteuserauthenticationschemesarevery usefulindistributedsystemssincetheycanguar-anteeonlythelegalusershaverighttovisitthere-sourcesprovidedbytheremoteservers.There-fore,overthepastyears,manyremoteuserau-thenticationschemes[1-8]havebeenproposed.In1981,Lamport[1]proposedthefirstwell-known passwordauthenticationschemeusingapassword tabletoachieveuserauthentication.However,Lamport'sschemesuffersfromtheriskofamodi-fiedpasswordtableandthecostofprotectingand maintainingthepasswordtabl…     

Impacts of weather on public transport ridership: Results from mining data from different sources

The existing studies concerning the influence of weather on public transport have mainly focused on the impacts of average weather conditions on the aggregate ridership of public transit. Not much research has examined these impacts at disaggregate levels. This study aims to fill this gap by accounting for intra-day variations in weather as well as public transport ridership and investigating the effect of weather on the travel behavior of individual public transit users. We have collected smart card data for public transit and meteorological records from Shenzhen, China for the entire month of September 2014. The data allow us to establish association between the system-wide public transit ridership and weather condition on not only daily, but also hourly basis and for each metro station. In addition, with the detailed trip records of individual card holders, the travel pattern by public transit are constructed for card holders and this pattern is linked to the weather conditions he/she has experienced. Multivariate modeling approach is applied to analyze the influence of weather on public transit ridership and the travel behavior of regular transit users. Results show that some weather elements have more influence than others on public transportation. Metro stations located in urban areas are more vulnerable to outdoor weather in regard to ridership. Regular transit users are found to be rather resilient to changes in weather conditions. Findings contribute to a more in-depth understanding of the relationship between everyday weather and public transit travels and also provide valuable information for short-term scheduling in transit management.     

Analyzing year-to-year changes in public transport passenger behaviour using smart card data

In recent years, there has been increased interest in using completely anonymized data from smart card collection systems to better understand the behavioural habits of public transport passengers. Such an understanding can benefit urban transport planners as well as urban modelling by providing simulation models with realistic mobility patterns of transit networks. In particular, the study of temporal activities has elicited substantial interest. In this regard, a number of methods have been developed in the literature for this type of analysis, most using clustering approaches. This paper presents a two-level generative model that applies the Gaussian mixture model to regroup passengers based on their temporal habits in their public transportation usage. The strength of the proposed methodology is that it can model a continuous representation of time instead of having to employ discrete time bins. For each cluster, the approach provides typical temporal patterns that enable easy interpretation. The experiments are performed on five years of data collected by the Société de transport de l’Outaouais. The results demonstrate the efficiency of the proposed approach in identifying a reduced set of passenger clusters linked to their fare types. A five-year longitudinal analysis also shows the relative stability of public transport usage.     

城市公共交通一卡多用系统规划方案评价

在对一卡多用系统规划方案、评价指标分析的基础上, 利用层次分析法建立了系统规划方案评价模型。结合南京市一卡多用系统的实施情况, 应用所建立的层次分析模型对规划方案进行排序, 确定的最佳决策方案符合实际, 表明该评价模型是合理有效的。     

Probe vehicle-based traffic state estimation method with spacing information and conservation law

This paper proposes a method of estimating a traffic state based on probe vehicle data that contain spacing and position of probe vehicles. The probe vehicles were assumed to observe spacing by utilizing an advanced driver assistance system, that has been implemented in practice and is expected to spread in the near future. The proposed method relies on the conservation law of the traffic flow but is independent of a fundamental diagram. The conservation law is utilized for reasonable aggregation of the spacing data to acquire the traffic state, i.e., a flow, density and speed. Its independence from a fundamental diagram means that the proposed method does not require predetermined nor exogenous assumptions with regard to the traffic flow model parameters. The proposed method was validated through a simulation experiment under ideal conditions and a field experiment conducted under actual traffic conditions; and empirical characteristics of the proposed method were investigated.     

铁路机车司机驾驶能力的心理学检验指标及其效标

应用检验空军驾驶能力的心理学指标——五项纸笔方法对铁路机车司机驾驶能力进行心理学检验，并用标准９分制进行校标，结果表明除曲线轨迹相关较差不宜应用外，其他四项均可应用。     

A conflict model and interactive simulator (FASTCARS) for predicting enroute driver behavior in response to real-time traffic condition information

This paper proposes a theoretical methodology and practical data collection approach for modeling enroute driver behavioral choice under Advanced Traveler Information Systems (ATIS). The theoretical framework is based on conflict assessment and resolution theories popularized in psychology and applied to models of individual consumer behavior. It is posed that enroute assessment and adjustment is a reactionary process influenced by increased conflict arousal and motivation to change. When conflict rises to a level at which conflict exceeds a personal threshold of tolerance, drivers are likely to alter enroute behavior to alleviate conflict through either route diversion of goal revision. Assessment and response to conflict arousal directly relate to the driver's abilities to perceive and predict network conditions in conjunction with familiarity of network configurations and accessible alternate routes.Data collection is accomplished through FASTCARS (Freeway andArterialStreetTrafficConflictArousal andResolutionSimulator), in interactive microcomputer-based driving simulator. Limited real-world implementation of ATIS has made it difficult to study or predict individual driver reaction to these technologies. It is contended here that in-laboratory experimentation with interactive route choice simulators can substitute for the lack of real-world applications and provide an alternate approach to data collection and driver behavior analysis. This paper will explain how FASTCARS is useful for collecting data and testing theories of driver behavior.     

高速列车机车乘务员心理学选拔指标的应用和筛选

对6个机务段399名现职快速列车机车乘务员进行了认知能力（4项纸笔检查：四数和计算、注意广度、视觉鉴别、数字译成符号）、注意品质（注意分配）、操作技能（比较刻度、加法计算、按规律检数、数值记忆、雷视双重任务）的心理适应性检查,结果表明除注意分配值与效标分的相关性较差,不宜作为高速列车机车乘务员的心理选拔指标外,其他指标都可以用于高速列车机车乘务员的驾驶适应性选拔。