交通出行统一帐号的电子支付MaaS运营探索

交通出行已经定位为民生实事,要求2019年全国260个地级以上城市交通出行城际无障碍互联互通,同时交通出行在不断创新的服务推动下已经悄然升级到MaaS一体化智慧出行新时代,电子支付已经成为交通出行MaaS服务的强力推手,必须对各类电子支付实现集约化运营。提出了基于统一帐号的金融级安全+电信级通信能力的交通出行聚合支付体系架构,基于该体系架构交通运营机构可利用自身优势资源,向用户提供多种账户,多种接入方式的出行全业务聚合支付服务,在完成交通运输部城市交通出行互联互通的同时构建了基于资金信息流的出行“数据链”,向云计算和大数据的智慧服务和运营体系推进。     

高速公路桥梁施工风险识别及应对措施

运用风险分析理论及方法,结合新疆某公路桥梁主桥施工实例,从经济损失、环境损失、社会损失三方面对洪水作用下桥梁施工的风险进行了分析,提出了工程防治、非工程防治、生物防治方面的措施建议,可为今后高速公路桥梁施工的风险识别及应对措施提供有益的参考.     

超声辅助提取生姜黄酮及其抑菌活性研究

为了开发利用生姜中黄酮类化合物,选取生姜为原料,采用超声波辅助提取技术,以乙醇为溶剂,乙醇浓度、料液比、超声时间、超声强度及超声温度为主要考察因素,通过L18（3^7）正交实验,确定了超声辅助提取生姜中黄酮类化合物的最佳提取工艺为：以90％的乙醇水溶液为溶剂,在温度80℃,超声波强度80Hz,料液比1：20,提取时间50min的条件下提取2次,提取效率最高．采用滤纸片法研究了黄酮提取液对不同菌株的抑菌能力,结果表明,生姜黄酮对4种供试菌均有一定的抑菌效果,且对革兰氏阳性菌和阴性菌的抑菌效果没有明显差异．     

Daily activity and travel sequences of students,faculty and staff at a large Canadian university

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia. Results show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.     

Understanding members' carsharing (activity) persistency by using econometric model

Carsharing is an innovative travel alternative that has recently experienced considerable growth and become part of sustainable transportation initiatives. Although carsharing is becoming increasingly a popular alternative transportation mode in North America, it is still an under‐researched area. Current research is aimed at better understanding of the behavior of carsharing users. For every member, a two‐stage approach microsimulates the probability of being active in any month using a binary probit model and given that a particular member is active during a month, the probability of that member using the service multiple times using a random utility‐based model. The model is estimated using empirical data from one of the largest carsharing companies in North America. The model estimates reveal that the activity persistency of members is positively linked to previous behaviors for up to 4 months, and that the influence of previous months weakens over time. It also shows that some attributes of the traveler (gender, age, and language spoken at home) impact his or her behaviors. Copyright © 2010 John Wiley & Sons, Ltd.     

An analysis of the determinants of children’s weekend physical activity participation

This paper examines the out-of-home, weekend, time-use patterns of children aged 5–17 years, with a specific emphasis on their physical activity participation. The impact of several types of factors, including individual and household demographics, neighborhood demographics, built environment characteristics, and activity day variables, on physical activity participation is analyzed using a joint nested multiple discrete–continuous extreme value-binary choice model. The sample for analysis is drawn from the 2000 San Francisco Bay Area Travel Survey. The model developed in the paper can be used to assess the impacts of changing demographics and built environment characteristics on children’s physical activity levels.     

渝湛高速公路生物防护技术的应用实践

渝湛高速公路(粤境段)的边坡、边沟、桥梁锥坡、超高路段和中央分隔带排水工程,按照生态环保的要求,采用客土喷播、挂三维网、直接喷播草种等多种生物防护技术,经过一个冬、春旱季的考验,草坪生长良好,由此表明,渝湛高速公路(粤境段)采用的生物防护技术是成功的。     

Trip Chain's Activity Type Recognition Based on Support Vector Machine

This paper focuses on support vector machine (SVM) based trip chain's activity type recognition. First, the time-series location information of person trip is processed to obtain the trip chain elements including moving processes and activities, and the activity options are extracted from the geographic information system (GIS) around the activity sites. Second, the activity features are drawn from spatio-temporal factors of trip chain to serve as the input feature vector of classifier. A SVM based one-to-one classifier is established and the method of one-to-one classifier voting is adopted to decide the most likely activity type from the activity options. Finally, the classifiers are trained with simulation data based on the Gaussian radial basis (RBF) kernel function and the multilayer perception (MLP) kernel function respectively, and then examined by cross validation. The result shows that in the one-to-one classifying scheme, the highest and lowest right recognition rate with RBF are 99% and 62%, and the corresponding results with MLP are 97% and 54%, respectively.     

街道交通整治研究思路及工程案例

街道交通重构是塑造功能多样性活力街区的有效途径。该文首先结合街道功能的更新,阐述了街道设计完善历程中的街道运动,包括街道瘦身计划、交通安抚计划和绿色街道计划,然后提出了街道交通整治的理念及目标,并结合工程实际案例加以论述。     

军事应用活动仿真建模研究

针对应用活动视图的不足,按照能力需求的分析思路,结合能力模型特点,提出了一种对应用活动视图规范化建模的方法,以详细描述能力模型的动态行为。同时,利用BNF将模型定义为XML格式文档,使模型文件具有良好的可读性、扩展性和重用性,并可以方便地向仿真模型实例转化,有利于实现模型可执行仿真。