Spatial impacts of road pricing: Accessibility, regional spillovers and territorial cohesion

Road pricing policies are gaining prominence in EU countries. These policies have positive impacts leading to mobility patterns which are socially and environmentally more desirable, but they also have negative impacts. One negative impact is to be found in regional accessibility, due to the increase in generalized transport costs. This study presents a methodology based on accessibility indicators and GIS to assess the accessibility impacts of a road pricing policy. The methodology was tested for the Spain’s road network considering two road pricing scenarios. It enables not only the more penalized regions to be identified but also negative road pricing spillover effects between regions. These effects are measured in terms of accessibility changes occurring in one region produced by charges implemented in another region. Finally, the study of accessibility disparities (by calculating inequality indexes for each of the scenarios considered), provides policymakers with useful information regarding the impact of road pricing policies from the point of view of territorial cohesion.     

如何获取免费科技文献全文文章

文中介绍了利用Googlescholar等学术搜索引擎获取免费科技文献全文文章的几种途径与方法。     

LNG船液货装卸系统分析软件平台研究

提出了一种基于VC＋＋平台和数据库技术的LNG船液货装卸系统设计及分析的软件平台系统,详细介绍了其内容、结构和实现方法。该系统配有与管路阻力计算相关的管道、阀件、液货舱、附件等的数据库,能够按目标船的装卸要求,直接组态设计液货装卸系统管网系统。设计人员可以在每一个模型设计完成后直接进行优化并确定液货泵的排量、压头、液货管路的管径、长度等设计信息,仿真计算装卸过程中各时间段上的的流量、节点压力、剩余舱内液体容积等各项参数。不仅简化了液货装卸系统的设计过程和计算校核的时间,而且更加方便灵活。     

舰船监控系统的现状及发展趋势

通过研究国外舰船监控系统的发展状况、发展趋势,分析了国外船舶监控系统自动化、网络化的发展,结合我国科技与国防事业的发展,提出了推进我军舰船监控系统发展的建议。     

基于分布式的IC机房管理系统的设计与实现

本文主要从高职院校计算机机房的实际情况出发,结合本校机房的自身特点,设计基于分布式的IC机房管理系统,该系统以网络通信技术和数据库访问技术为手段,提出了B／S与C／S相结合的结构来实现的机房管理系统模型,并采用射频识别技术开发射频卡。实现机房管理现代化,具有一定实际应用价值。     

基于Petri网考虑中介状态的机械系统失效相关可靠性分析

机械系统因其各子系统、各部件、各单元之间的相互复杂关系,容易受到自身结构与人为因素的影响,导致其发生失效,严重影响了机械系统的可靠性.在利用Petfi网模型对机械系统分析的基础上,并引入"安全-中介-失效"3级工作模式,从安全、中介、失效3个方面来反映机械系统的可靠(完全正常工作)、可靠与失效的中介过渡、失效(完全不能...     

2500m车道/2300客位客滚船消防灭火系统设计

客滚船作为一种既能载运车辆,又同时载运旅客的特殊船型,实现船舶的消防安全目标和功能的要求至关重要。简要介绍2500m车道／2300客位客滚船全船消防灭火系统的设计。重点介绍全船水灭火系统、固定式高压二氧化碳灭火系统、车辆舱固定式压力水雾系统、舱室自动水喷淋系统、机舱局部水雾灭火系统和直升机泡沫灭火系统。     

Scheduled paratransit transport systems

In this paper we focus on ways to provide individualized services to people with mobility challenges using existing modes of public transport. We study the design of an interesting case, in which a bus operating in a public transport route may diverge from its nominal path to pick-up passengers with limited mobility and drop them off at their destination. We have modeled the design problem by a mixed integer-linear program, and we developed an exact Branch and Price approach to solve it to optimality. The proposed approach includes a labeling algorithm in which we introduced appropriate dominance rules, which do not compromise optimality. We have compared the efficiency of our approach with that of related algorithms from the literature. Furthermore, we have used the proposed approach to study key aspects of the system design problem, such as the effect of various constraints on the service level, and the tuning of the system’s parameters to address different transport environments.     

地铁通风小系统风机送电调试的探讨

通过6个案例分析,从不同调试故障的处理方法,归纳出3类常见调试问题,进而提出分3步进行的送电调试,为快速、高效地完成通风小系统风机送电调试任务提供了一条可行的便利途径。     

Asynchronous n-step Q-learning adaptive traffic signal control

Ensuring transportation systems are efficient is a priority for modern society. Intersection traffic signal control can be modeled as a sequential decision-making problem. To learn how to make the best decisions, we apply reinforcement learning techniques with function approximation to train an adaptive traffic signal controller. We use the asynchronous n-step Q-learning algorithm with a two hidden layer artificial neural network as our reinforcement learning agent. A dynamic, stochastic rush hour simulation is developed to test the agent’s performance. Compared against traditional loop detector actuated and linear Q-learning traffic signal control methods, our reinforcement learning model develops a superior control policy, reducing mean total delay by up 40% without compromising throughput. However, we find our proposed model slightly increases delay for left turning vehicles compared to the actuated controller, as a consequence of the reward function, highlighting the need for an appropriate reward function which truly develops the desired policy.