Dynamic stride length adaptation according to utility and personal space

Pedestrians adjust both speed and stride length when they navigate difficult situations such as tight corners or dense crowds. They try to avoid collisions and to preserve their personal space. State-of-the-art pedestrian motion models automatically reduce speed in dense crowds simply because there is no space where the pedestrians could go. The stride length and its correct adaptation, however, are rarely considered. This leads to artefacts that impact macroscopic observation parameters such as densities in front of bottlenecks and, through this, flow. Hence modelling stride adaptation is important to increase the predictive power of pedestrian models. To achieve this we reformulate the problem as an optimisation problem on a disk around the pedestrian. Each pedestrian seeks the position that is most attractive in a sense of balanced goals between the search for targets, the need for individual space and the need to keep a distance from obstacles. The need for space is modelled according to findings from psychology defining zones around a person that, when invaded, cause unease. The result is a fully automatic adjustment that allows calibration through meaningful social parameters and that gives visually natural results with an excellent fit to measured experimental data.     

Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra

This paper analyses transport energy consumption of conventional and electric vehicles in mountainous roads. A standard round trip in Andorra has been modelled in order to characterise vehicle dynamics in hilly regions. Two conventional diesel vehicles and their electric-equivalent models have been simulated and their performances have been compared. Six scenarios have been simulated to study the effects of factors such as orography, traffic congestion and driving style. The European fuel consumption and emissions test and Artemis urban driving cycles, representative of European driving cycles, have also been included in the comparative analysis. The results show that road grade has a major impact on fuel economy, although it affects consumption in different levels depending on the technology analysed. Electric vehicles are less affected by this factor as opposed to conventional vehicles, increasing the potential energy savings in a hypothetical electrification of the car fleet. However, electric vehicle range in mountainous terrains is lower compared to that estimated by manufacturers, a fact that could adversely affect a massive adoption of electric cars in the short term.     

The symmetric intersection design and traffic control optimization

It is well recognized that the left-turning movement reduces the intersection capacity significantly, because exclusive left turn phases are needed to discharge left turn vehicles only. This paper proposes the concept of Left-Hand Traffic (LHT) arterial, on where vehicles follow left-hand traffic rules as in England and India. The unconventional intersection where a LHT arterial intersects with a Right-Hand Traffic (RHT) arterial is named as symmetric intersection. It is only need three basic signal phases to separate all conflicts at symmetric intersection, while it at least need four signal phases at a conventional intersection. So, compared with the conventional intersection, the symmetric intersection can provide longer green time for the left-turning and the through movement, which can increase the capacity significantly. Through-movement waiting areas (TWAs) can be set at the symmetric intersection effectively, which can increase the capacity and short the cycle length furthermore. And the symmetric intersection is Channelized to improve the safety of TWAs. The Binary-Mixed-Integer-Linear-Programming (BMILP) model is employed to formulate the capacity maximization problem and signal cycle length minimization problem of the symmetric intersection. The BMILP model can be solved by standard branch-and-bound algorithms efficiently and outputs the lane allocation, signal timing decisions, and other decisions. Experiments analysis shows that the symmetric intersection with TWAs can increase the capacity and short the signal cycle length.     

珠三角地区航道水深和码头水域水深的探讨

根据我国港口航道技术规范,珠三角地区的航道水深、码头泊位水深不能满足公布的通航船舶要求,建议加大水深尺度、强调通航水深,对于利用高潮位靠泊的码头,要进行技术论证,采取相应措施．     

基于欧洲规范的板桩码头设计方法简介

基于极限状态设计的欧洲土木工程设计规范Eurocode代表了当前工程设计的最高水平;部分欧洲国家板桩码头设计则直接采用该规范,例如英国海上工事设计规范BS6349。本文介绍了基于BS6349和Eurocode规范的板桩码头设计方法,有助于设计人员理解和使用欧洲板桩规范。     

大型浮式结构物结构碰撞性能分析

碰撞事故是基于事故极限状态设计重点考虑的对象,在设计中越来越受到重视。文章以某大型浮式结构物为研究对象,总结分析ISO、API、HSE、DNV、ABS、BV、LR等标准及规范对碰撞场景的相关规定,提出碰撞分析场景及设计衡准;基于简化分析技术建立碰撞力学模型,利用动态非线性结构分析软件ABAQUS进行仿真分析,通过分析塑性应变、塑性变形、吸能、碰撞力及运动等,校核评估舷侧结构的耐撞性能;分析不同碰撞位置、撞击船型式等对碰撞性能的影响。研究表明:目标大型浮式结构物舷侧结构碰撞事故极限强度满足规范要求,首柱撞击相对比较危险,可作为计算分析控制工况。     

开敞海域中液体散货泊位长度探讨

对国内若干开敞海域码头泊位长度进行分析,又对英、美、日本及石油公司国际论坛等现行港口工程规范中开敞式码头泊位长度的确定方法进行讨论。在此基础上指出:开敞海域液体散货码头的横向约束比纵向约束更为重要;在不影响船舶约束效果的前提下,采用较大水平系缆角以及适中的缆绳长度可有效缩短泊位长度;并建议对于单个独立的开敞式液体散货泊位,其泊位长度可按1.1~1.3倍设计船长确定。     

影响高等级公路造价的因素研究

高等级公路工程项目的实施需利用多种要素和各种条件,因而会受到多种因素的影响.影响高等级公路工程投资额的主要因素,包括社会、政治、经济环境、地理环境(地形、地质、水文)、公路等级、交通状况、发展政策、资金来源、土地成本、结构物、定额取费标准,材料和设备价格等.本文将定性描述其影响.     

中国铁路管理信息系统的结构分析

在对我国铁路各主要职能部门管理信息系统的信息交流关系定性分析的基础上,运用总体结构等级分析法明确各管理信息系统的地位和相互关系,提出铁路管理信息系统集成应该以具有强关联的运输管理信息系统为核心,以安全、财会管理信息系统为引导,抓住重点,运用基层运输管理信息系统的推动作用和上层安全、财会管理信息系统的拉动作用加快铁路信息化的发展.     

轨迹数据驱动的单点信号交叉口运行效率评价方法

为解决信号交叉口运行效率评价方法偏理论化、实用性不强等问题,以出租车、公交车、驾图(车联网)多源GPS轨迹数据为基础,充分利用车辆减速、停车、加速等连续速度变化特征及位置信息,提出交叉口个体车辆排队长度、通行时间、停车次数等交通参数提取技术.基于此,构建以信号交叉口运行指数为一级指标,车辆平均通行时间,第95％分位排队...