轨道交通大客流换乘站客流组织仿真分析——以深圳会展中心站为例

为有效应对轨道交通网络化运营初期可能出现的客流拥挤等问题,运用行人仿真方法进行客流组织方案的动态检验和调整。以深圳会展中心站为例,选取适当的仿真参数和评价指标,对车站客流组织进行防真,分析客流拥堵原因,提出客流组织调整方案,并对调整方案进行仿真及评阶。总结了车站行人仿真在指导车站客流组织方面的普遍适用性。     

深圳地铁2号线东黄区间盾构隧道重叠段施工技术

重叠隧道结构特殊,受力复杂,施工难度大,掘进不易控制。深圳地铁2号线东延线东黄区间盾构隧道重叠段施工中采用夹层岩体注浆加固、自行台车同步支撑施工方案,相关技术措施应用效果良好,平均日掘进量达9.25 m。介绍重叠段施工工艺及关键技术,可为同类工程提供参考。     

基于视距的城市道路线形指标及优化措施研究

城市道路由于受到建设条件制约经常会采用较小的平、纵线形指标,其中地下道路和高架道路的曲线路段由于受到中隔墙、侧墙、结构顶板或防撞墙、防眩设施、声屏障等结构物的影响,易造成视距不足,为道路运营带来了安全隐患。在总结分析行车视距验算方法及规范要求值的基础上,采用数值解析法计算得到城市道路不同设计速度和视距要求下的平曲线、竖曲线半径对应值,并提出了视距不足时的优化设计措施,以期为日后的相关工作提供参考。     

遗传算法在区段站到发线的应用研究

为解决车站到发线的合理运用问题，采用遗传算建立了到发线运用的染色体结构和适应度函数，对这种复杂的非线性组合优化问题进行了仿真。     

汽车防追尾碰撞数学模型研究

为了提高车辆在高速行驶状态下的主动安全性能,研究了处于追尾行驶状态的本车与前车的运动学特征;针对前车的不同运动状态分别推导出了跟车距离的计算模型并分析了模型中3个关键参数的随机性和动态性,对制动迟滞时间提出了基于模糊推理的确定方法,对本车制动减速度和前车的运动加速度提出了比较实用的动态测算公式;另外,研究了防追尾碰撞的控制与执行,建立了动态调整安全制动停车距离的神经网络模型,提出了基于危险裕度判别的安全控制方法。     

山区公路层间滑移破坏机理分析及对策研究

通过现场调查,初步分析了山区公路沥青路面基面层滑移的主要原因。应用有限元法,对基层和面层之间的剪应力进行计算分析,得出了基面层间剪应力变化的一般规律,认为层间最大剪应力主要取决于面层厚度和荷载条件。在前述计算分析的基础上,利用自行研制的DLG A路面材料剪切仪进行了大量的层间滑移室内模拟试验,考察了不同的层间处理措施、温度、基层类型等因素对层间抗剪能力的影响,提出了防止基面层滑移的技术措施。     

技术站间货物列车协同配流方案研究

技术站间货物列车协同作业组织模式，可实现各站获益，整体加强，对提升铁路运输生产效率具有重要意义.本文建立技术站间货物列车协同配流模型.模型以最大化两技术站的正点出发列车数作为目标函数，采用启发式遗传算法进行寻优，得到货物列车解编顺序和配流方案.最后，通过对算例进行实验分析，验证协同配流模型的实用性.结果表明，技术站间协同配流作业明显压缩车辆在站总停留时间，增加了阶段计划内正点出发列车数，进而提高了技术站内线路使用能力.     

移动闭塞系统区间通过能力分析及参数计算

移动闭塞条件下“闭塞分区”呈现出“移动”和“长度变化”的特征,其区间通过能力的计算较固定闭塞系统更加复杂。本文建立了移动闭塞系统区间通过能力的数学模型,对区间通过能力与列车追踪运行速度、跟驰车距和列车性能等参数之间的相互关系进行了定性、定量分析,并就关鍵参数的计算方法进行了深入的讨论,对移动闭塞条件下的列车运行控制与行车组织有一定的参考价值。     

Fast-charging station choice behavior among battery electric vehicle users

This study explores how battery electric vehicle users choose where to fast-charge their vehicles from a set of charging stations, as well as the distance by which they are generally willing to detour for fast-charging. The focus is on fast-charging events during trips that include just one fast-charge between origin and destination in Kanagawa Prefecture, Japan. Mixed logit models with and without a threshold effect for detour distance are applied to panel data extracted from a two-year field trial on battery electric vehicle usage in Japan. Findings from the mixed logit model with threshold show that private users are generally willing to detour up to about 1750 m on working days and 750 m on non-working days, while the distance is 500 m for commercial users on both working and non-working days. Users in general prefer to charge at stations requiring a shorter detour and use chargers located at gas stations, and are significantly affected by the remaining charge. Commercial users prefer to charge at stations encountered earlier along their paths, while only private users traveling on working days show such preference and they turn to prefer the stations encountered later when choosing a station in peak hours. Only private users traveling on working days show a strong preference for free charging. Commercial users tend to pay for charging at a station within 500 m detour distance. The fast charging station choice behavior is heterogeneous among users. These findings provide a basis for early planning of a public fast charging infrastructure.     

Optimal design of electric vehicle public charging system in an urban network for Greenhouse Gas Emission and cost minimization

In this paper, we address the optimization problem of allocation of Electric Vehicle (EV) public fast charging stations over an urban grid network. The objective is to minimize Greenhouse Gas Emissions (GHG) under multiple constraints including a limited agency budget, accessibility of charging stations in every possible charging request and charging demands during peak hours. Additionally, we address bi-criteria problems to consider user costs as the second objective. A convex parsimonious model that depends on relatively few assumptions and input parameters is proposed and it is shown to be useful for obtaining conceptual insights for high-level planning. In a parametric study using a hypothetical urban network model generated based on realistic parameters, we show that GHG emissions decrease with agency budget, and that the reductions vary depending on multiple factors related to EV market and EV technologies. The optimal solutions found from the bi-criteria problems are shown to be close to the solution minimizing GHG emissions only, meaning that the emission minimizing policy can also minimize user costs.