新线开通对线网客流特征的影响

随着北京市轨道交通的快速发展,每年的新线开通都将对线网各线的客流分布产生较大的影响,但新线可研多注重新线自身的预测,缺乏线网整体变化的预测分析.结合线网客流变化的关键因素,探索利用新线可研和现有OD数据预测新线开通后线网客流的方法,并以北京地铁4号线开通为例进行验证,从一定程度上证明该方法的可行性和适用性.     

广交会大客流下的地铁运营组织

阐明在第108界广交会(中国进出口商品交易会)举办期间,大客流对广州地铁的运营组织造成巨大压力,在对地铁客流进行预测和分析的基础上,提出在广交会举办期间客运组织的5项对策和行车组织的4项对策.实践证明,该方案为广交会的成功举办提供了坚实的后勤保障和优质的服务.     

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.     

基于GIS的城市轨道交通线网客流监测预警

在分析城轨客流特性的基础上,提出线网实时客流的监测算法;利用地理信息系统（GIS）技术,动态展示城市轨道交通线网实时客流分布态势;设定预警研判机理,对超过限定预警值的车站、区间的客流进行监测预警;借助GIS动态定位特性,辅助实现公交接驳的紧急疏散,以满足线网运营的可视化、高效的现代化管理。     

Introduction: Habitual travel choice

In this introduction to the special issue on habitual travel choice, we provide a brief account of the role of habit in travel behaviour, discuss more generally what habitual choice is, and briefly review the issues addressed in the solicited papers. These issues include how habitual travel behaviour should be measured, how to model the learning process that makes travel choice habitual, and how to break and replace car-use habits.     

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。     

Development and calibration of a long-distance passenger traffic assignment model

This paper studies the assignment of long-distance passenger traffic on a highway corridor network. First, we propose a traditional model for the long-distance traffic assignment considering interactions with local commuter traffic. It addresses the effect of local networks on highway corridors. An iterative algorithm is developed to solve for the exact solution. Then, to address the potential computational issues that arise therein, a decomposition method is proposed by introducing a new concept of corridor elasticity. An assignment procedure for long-distance passenger traffic is developed accordingly. Numerical tests show that the proposed decomposition method makes significant improvements in computational performance at a small loss of optimality. This decomposition method well approximates the exact assignment from the traditional formulation, especially when the highway corridors are near-saturation. The proposed decomposition method appears practical for application.     

基于计算机自动控制技术的多探头测深系统研制与改造

通过加装控制盒的方式,实现单探头测深仪与自动控制探头之间的流畅切换,将传统单探头测深仪改造成具有多探头功能的高效水下测量仪器系统,主要用于航道和码头基床等的水下扫测。利用该系统进行的码头基床扫测已经取得成功,可为同类测量设备的改造提供全新的思路。     

Studies on emergency evacuation management for maritime transportation

Marine transportation is a vital component of the world’s economy and transportation network. The number of people using passenger ships around the globe is increasing worldwide. Similar to other transportation systems, passenger safety is critical in maritime shipment. As emergency evacuation processes for ships are highly different from and more complicated than those for buildings and other vehicles, many researchers have published a vast range of documents related to this peculiar research area. However, there is a tangible lack of sufficient literature review studies that investigate marine emergency evacuation (MEE). That being the case, the potential of marine transportation and the effect of emergency evacuation operation on life safety have inspired the proposal of this study. This paper offers a review of the available literature on MEE modelling, analysis and planning during the period from 1973 to 2017 using a systematic approach. After reviewing relevant academic journals, peer-reviewed conference papers, and technical reports of agencies, relevant literature is analysed. In addition, the literature review is extended by means of proposing a framework methodology which considers different possible conditions and situations during MEE. Finally, insights for ship managers and policymakers are discussed and potential future research directions are identified.     

Impact assessment of extreme weather events on transport networks: A data-driven approach

The present paper presents a data-driven method for assessing the resilience of the European passenger transport network during extreme weather events. The method aims to fill in the gap of current research efforts regarding the quantification of impacts attributed to climate change and the identification of substitutability opportunities between transport modes in case of extreme weather events (EWE). The proposed method consists of three steps concerning the probability estimation of an EWE occurring within a transportation network, the assessment of its impacts and the passengers’ flow shift between various transport modes. A mathematical formulation for the proposed data-driven method is provided and applied in an indicative European small-scale network, in order to assess the impacts of EWE on modal choice. Results are expressed in passenger differentiated flows and the paper concludes with future research steps and directions.