Locating rental stations and bikeways in a public bike system

To determine the spatial distribution of rental stations and bikeways in a public bike system, this paper proposes a facility location and network design model. The model is developed as a multi-objective programing problem that considers four objectives (minimizing cyclist risk, maximizing cyclist comfort, minimizing adverse impacts on traffic and maximizing service coverage) and multiple constraints (monetary budget, network connectivity, station spacing, bikeway types, station number and value ranges of decision variables). The ε-constraint method solves the programing problem for the public bike system in Daan District, Taipei City, Taiwan. The nine non-dominated alternatives generated are all markedly better than existing locations of rental stations and bikeways. Scenario analysis results indicate that increasing the construction budget for bikeways significantly improves cyclist safety and comfort whilst increasing the adverse impact on traffic. Planners can use this model to develop public bike systems that spatially integrate rental stations and bikeway networks.     

Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach

In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicles are allowed at a single location. The objective function of the model has no closed form expression. A genetic algorithm is constructed to solve the model. With the help of the genetic algorithm, the effect of assigning multiple vehicles on the mean response time is reported.     

Shared autonomous electric vehicle (SAEV) operations across the Austin,Texas network with charging infrastructure decisions

Shared autonomous vehicles, or SAVs, have attracted significant public and private interest because of their opportunity to simplify vehicle access, avoid parking costs, reduce fleet size, and, ultimately, save many travelers time and money. One way to extend these benefits is through an electric vehicle (EV) fleet. EVs are especially suited for this heavy usage due to their lower energy costs and reduced maintenance needs. As the price of EV batteries continues to fall, charging facilities become more convenient, and renewable energy sources grow in market share, EVs will become more economically and environmentally competitive with conventionally fueled vehicles. EVs are limited by their distance range and charge times, so these are important factors when considering operations of a large, electric SAV (SAEV) fleet.This study simulated performance characteristics of SAEV fleets serving travelers across the Austin, Texas 6-county region. The simulation works in sync with the agent-based simulator MATSim, with SAEV modeling as a new mode. Charging stations are placed, as needed, to serve all trips requested (under 75 km or 47 miles in length) over 30 days of initial model runs. Simulation of distinctive fleet sizes requiring different charge times and exhibiting different ranges, suggests that the number of station locations depends almost wholly on vehicle range. Reducing charge times does lower fleet response times (to trip requests), but increasing fleet size improves response times the most. Increasing range above 175 km (109 miles) does not appear to improve response times for this region and trips originating in the urban core are served the quickest. Unoccupied travel accounted for 19.6% of SAEV mileage on average, with driving to charging stations accounting for 31.5% of this empty-vehicle mileage. This study found that there appears to be a limit on how much response time can be improved through decreasing charge times or increasing vehicle range.     

PCM+“短接法”在站场埋地管道定位中的应用

为了实现站场内埋地管道的非开挖定位,借鉴长输管道定位技术,采用PCM+探索实现站内管道定位的方法。站场内管道错综复杂,用电设备干扰大,按照正常信号加载方式,电流信号在埋地管道和用电设备之间无序流动,无法实现目标管道准确定位。采用PCM+"短接法",用金属导线将发射机与待检埋地管道直接相连,不经过地网,而形成"发射机-导线-管道-导线-发射机"的封闭回路,接收机可准确探测到埋地管道的位置,现场试验效果良好,经开挖验证后发现误差小于100 mm。     

新建地铁车站零距离下穿既有线区间影响分析

暗挖隧道下穿既有地铁施工,势必会引起既有地铁结构附加变形和差异沉降,影响其结构及运营安全,需要进行变形和内力分析,以便采取必要保护措施.文章以某暗挖车站密贴下穿既有地铁区间为例,采用FLAC3D和SAP 2000模拟,分析既有地铁区间变形和内力发展规律,评价结构和运营安全受影响的程度,为安全保护提供决策依据.     

基于壅塞理论的CNG加气管流量计算分析

为了计算CNG加气系统的高压胶管的流量,以气体动力学为基础,建立等截面一维定常绝热摩擦流动的数学模型.利用VC+ +语言编制界面计算程序对模型进行编程求解,对壅塞状态和非壅塞状态下流量以及出口压力进行计算和拟合.当天然气汽车储瓶内的压力小于临界压力时,加气流量最大,且与胶管两端的压差无关,并计算出最大流量与胶管管长的关...     

Compromising system and user interests in shelter location and evacuation planning

Traffic management during an evacuation and the decision of where to locate the shelters are of critical importance to the performance of an evacuation plan. From the evacuation management authority’s point of view, the desirable goal is to minimize the total evacuation time by computing a system optimum (SO). However, evacuees may not be willing to take long routes enforced on them by a SO solution; but they may consent to taking routes with lengths not longer than the shortest path to the nearest shelter site by more than a tolerable factor. We develop a model that optimally locates shelters and assigns evacuees to the nearest shelter sites by assigning them to shortest paths, shortest and nearest with a given degree of tolerance, so that the total evacuation time is minimized. As the travel time on a road segment is often modeled as a nonlinear function of the flow on the segment, the resulting model is a nonlinear mixed integer programming model. We develop a solution method that can handle practical size problems using second order cone programming techniques. Using our model, we investigate the importance of the number and locations of shelter sites and the trade-off between efficiency and fairness.     

A multi-objective optimization model for sustainable logistics facility location

This paper offers an exploratory study of sustainable facility location. The methodology, based on the classical uncapacitated facility location problem, provides decision makers with a multi-objective optimization model to determine the trade-off among economic, service and environmental considerations. Our results indicate that it may be desirable to open more facilities than optimal from a narrow economic perspective to reduce the carbon dioxide emissions of transport and to improve service reliability.     

移动电站维修常见技术问题分析

通过对移动电站维修中存在的技术问题深入分析,指出了问题的成因、导致的后果,并逐一提出了解决问题的方法和避免问题的注意事项等。     

公路收费站ETC系统改造项目经济费用效益计算方法的研究

分析了公路收费站ETC系统改造项目的主要利害关系者及其收益,基于排队论研究了车辆途径收费站时在"有此项目"和"无此项目"两种情况下各种参数指标计算方法,推导出车辆时间消耗减少和刹车次数减少的计算公式,确定了节约运输成本效益与节约时间效益的计算方法,从而得到ETC系统改造项目经济费用效益分析的通用计算方法。最后分析了一处收费站ETC改造项目实例,按本文提出的计算方法进行计算并得到了经济费用效益评价结果。