城市轨道交通大小交路模式列车开行方案的优化

列车开行方案是城市轨道交通运输组织的基础.大小交路模式列车开行方案规定各时间段内各交路上开行列车对数.分析大小交路模式乘客出行成本和企业运营成本的计算方法,以乘客出行成本及运输企业运营成本最小化为目标,以列车追踪间隔时间、乘客需求和最大可用车底数量为约束,构建城市轨道交通大小交路模式列车开行方案双目标混合整数非线性规划模型.采用理想点法将原模型转化为单目标模型,借助Lingo11.0求解.通过算例验证模型的合理性,并对折返站和小交路区段客流比重进行成本的灵敏度分析,结果表明:小交路折返站的选取对成本影响显著,且小交路区段客流比重越高,开行大小交路模式越有利于降低运输成本.     

高铁无柱雨棚工程造价估算与敏感性分析

影响高铁客运站无柱雨棚结构工程造价的因素很多,在收集已建高铁客运站无柱雨棚结构工程造价数据的基础上,针对侧式客站无柱雨棚结构工程造价选取了相应的几个主要影响变量。根据多元回归分析理论,分别建立了多元逐步线性回归模型和二次响应曲面模型,通过拟合模型的对比分析与实例验证,提出二次响应曲面模型在高铁侧式站无柱雨棚结构工程造价估算上的应用前景。并在此基础上,应用二次响应曲面模型研究得出各主要敏感因素对无柱雨棚结构工程造价的敏感程度。从投资角度为高铁侧式站无柱雨棚结构体系设计和建设提供了优化方向。     

动车组运行车内环境卫生综合评价

目的了解我国动车组运行过程中司机室和车厢环境中电磁场强以及空气质量品质状况。方法现场测试高速动车组司机室和车厢环境卫生学状况,并与既有线空调客车进行比较分析。结果高速动车组与既有线动车组司机室和车厢空气内物理与化学卫生学指标符合国家职业卫生标准。结论高速动车组司机室和车厢环境各项理化指标符合国家相关标准要求,与既有旅客空调客车比较,动车组运行时车厢及司机室内环境空气质量品质优于普通旅客列车。     

国内外经验对北京新机场线规划的启示

在研究总结国内外机场线运营模式及机场航站楼轨道交通车站特点的情况下,结合北京市新机场的选址和规模,提出北京市新机场线的运营模式和车站布置。在总结国际先进机场系统车站分布特征的基础上,阐述对北京新机场线的车站分布要求,最后提出结论和建议。     

城市轨道交通应急管理模式初探

高速发展的城市轨道交通行业已进入到一个突发公共事件频发的时期,如何正确认识和应对这些突发公共事件,是需要城市轨道交通企业高度重视、谨慎对待的问题;指出必须通过建立和健全城市轨道交通应急管理机制,不断提高城市轨道交通企业应急处置能力.     

Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types

The automotive industry is witnessing a revolution with the advent of advanced vehicular technologies, smart vehicle options, and fuel alternatives. However, there is very limited research on consumer preferences for such advanced vehicular technologies. The deployment and penetration of advanced vehicular technologies in the marketplace, and planning for possible market adoption scenarios, calls for the collection and analysis of consumer preference data related to these emerging technologies. This study aims to address this need, offering a detailed analysis of consumer preference for alternative fuel types and technology options using data collected in stated choice experiments conducted on a sample of consumers from six metropolitan cities in South Korea. The results indicate that there is considerable heterogeneity in consumer preferences for various smart technology options such as wireless internet, vehicle connectivity, and voice command features, but relatively less heterogeneity in the preference for smart vehicle applications such as real-time traveler information on parking and traffic conditions.     

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.     

Conflict-free arrival and departure trajectory planning for parallel runway with advanced point-merge system

In this paper, an efficient trajectory planning system is proposed to solve the integration of arrivals and departures on parallel runways with a novel route network system. Our first effort is made in designing an advanced Point Merge (PM) route network named Multi-Level Point Merge (ML-PM) to meet the requirements of parallel runway operations. Then, more efforts are paid on finding a complete and efficient framework capable of dynamically modelling the integration of arrival and departure trajectories on parallel runways, modelling the conflict detection and resolution in presence of curved trajectory and radius-to-fix merging process. After that, a suitable mathematical optimization formulation is built up. Receding Horizon Control (RHC) and Simulated Annealing (SA) algorithms are proposed to search the near-optimal solution for the large scale trajectories in routine dense operations. Taking Beijing Capital International Airport (BCIA) as a study case, the experimental results show that our system shows good performances on the management of arrivals and departures. It can automatically solve all the potential conflicts in presence of dense traffic flows. With its unique ML-PM route network, it can realize a shorter flying time and a near-Continuous Descent Approach (CDA) descent for arrival aircraft, an economical climbing for departure aircraft, an easier runway allocation together with trajectory control solutions. It shows a good and dynamic sequencing efficiency in Terminal Manoeuvring Area (TMA). In mixed ML-PM mode, under tested conditions, our proposed system can increase throughput at BCIA around 26%, compared with baseline. The methodology defined here could be easily applied to airports worldwide.     

一种不同制式信号系统的贯通运行方案

提出一种应用于不同制式信号系统的贯通运行解决方案,分析其应用场景,研究信号系统配置方案、列车运行方式,并以大连3号线和大连金普线为工程案例进行探讨。     

Generalized Maximum Benefit Multiple Chinese Postman Problem

This research is focused on a generalization on the Max Benefit Chinese Postman Problem and the multiple vehicle variant of the Chinese Postman Problem. We call this generalization, the Generalized Maximum Benefit k-Chinese Postman Problem (GB k-CPP). We present a novel Mixed Integer Programming (MIP) formulation for the GB k-CPP. Four different cases of the model are discussed. The first case, performs arc-routing with profits and assumes that the origin and destination for each vehicle is the same for each cycle and is given by the user. The next case relaxes the assumption that the origin and destination for each vehicle should be the same and allows the users to select possible origins/destinations for vehicles. Case three gets the origin for each vehicle as input and produces a solution based on finding the best destination for each vehicle. The last case, that is very general, allows the optimization model to select possibly different locations for vehicle origin and destination, during each cycle. The different cases are applied to a security patrolling case conducted on the network of University of Maryland at College Park campus and the results are compared.