基于线性叠加的智能船舶经济性评估模型构建

经济性是智能船舶能否实现推广应用的关键,目前国内外有关智能船舶经济性分析的研究较少。本文通过对传统船舶经济性分析方法进行修正优化,提出智能船舶经济性分析计算模型,并根据理论推导结果,得出智能船舶经济性分析的线性叠加简化模型,并利用40万吨级VLOC实际运营数据进行科学性检验。本文提出的模型与方法适用于各类智能模块加装情况下的经济性核算,为相关单位开展智能船舶经济性快速分析提供了理论支持和解决方案。     

面向新型混合交通流的智能交叉口网络布局优化

考虑网联自动驾驶车辆(Connected Autonomous Vehicle, CAV)应用先进的车联网与自动驾驶技术，可以采用智能交叉口的组织形式，大幅提升交叉口的通行效率，为降低CAV与人工驾驶车辆(Human-driven Vehicle, HV)混行条件下城市交通系统的整体出行成本，提出智能交叉口在城 市交通网络中的布局优化问题，建立数学优化模型并求解。首先，基于对两类车辆行驶特性的分析，建立混合用户均衡模型，描述CAV与HV的路径选择行为；其次，从交通规划者的角度，以系统最优为目标，整合混合用户均衡模型，建立面向新型混合交通流的智能交叉口网络布局优化模型，并利用改进的遗传算法求解；最后，选取Sioux-Falls交通网络作为案例分析，验证模型与算法的有效性，并研究CAV渗透率变化对优化结果的影响。研究表明，智能交叉口在城市路网中的合理规划极大地提高了新型混行场景下城市交通系统的出行效率，同时，大幅降低了由于网联自动 驾驶单方面技术优势带来的CAV与HV的出行效率差距，增进了出行公平性。     

Dynamic Simulation of a Smart Crank and Slider Mechanism

In this paper, a smart crank and slider mechanism is analyzed mostly from a dynamic view. By means of dynamic explicit finite element method, 3D nonlinear structure is simulated. It is proved that the mechanism can effectively accomplish smart movement prescribed. And in order to ensure reciprocal movement with higher frequency, measures should be taken to avoid over heating of parts. Compared with internal energy, kinetic energy of total rigid body is dominating, and Y direction equivalent rigid velocity is much higher than X direction velocity. Equivalent rigid velocity of all parts is consistent with respective movement condition. For both energy and velocity, slider effect is dominating. Three direction equivalent inertia force oscillates. Force amplitude in Y -direction is comparitively the greatest.     

组团型大城市绕城高速公路互通立交一体化布局模型

为合理规划布置大城市绕城高速公路互通式立交工程,做到既能够提升出入境交通的可达性和便利性,又不影响过境交通及城市内部交通系统的运行效率,在对绕城高速公路出入境交通组织特性分析的基础上,提出了以系统运行时间和出入境交通可达性二者组合效应最好为目标的绕城高速公路互通式立交一体化布局模型,并提出了模型求解的实用方法。最后,以某城市规划年绕城高速公路互通式立交布局规划为应用案例,阐述了模型应用的具体步骤。研究结果表明,本文提出的绕城高速公路互通式立交一体化布局模型,不仅考虑了绕城高速公路互通式立交布局规划的实际影响因素,也便于实际应用。     

基于智慧地铁视角的广州地铁AFC系统架构设计

自动售检票(AFC)系统作为城市轨道交通中与乘客接触最为紧密的系统,应基于“以用户为中心”来提升客运服务水平。通过优化系统层级、整合多元化支付平台、引入智能客服功能、对接电子发票系统等措施,规划设计了适用于广州新一轮城市轨道交通线网建设要求的AFC系统架构,以期打造智慧的AFC系统,为乘客提供更为人性化和多元化的服务。     

江苏省沿江城市群城际轨道交通线网规划方案研究

城际轨道交通的规划建设是城市群发展的必然要求,江苏沿江城市群是我国城市化进程过程中重点发展的区域。根据沿江地区城市群的特征,把沿江地区城际轨道交通线网分为主骨架城际网和都市圈城际网两个层次进行规划,重点研究沿江地区都市圈内部中心城市之间以及中心城市与中小城市之间的城际轨道交通通勤线网。     

Nonlinear pricing in linear cities with elastic demands

Nonlinear road pricing charges each traveler based on his/her trip’s corresponding particular attribute level. In order to help authorities in designing road pricing systems at a strategic level, this paper attempts to address two fundamental questions: (i) what is the value of pricing’s nonlinearity for mitigating traffic congestion? (ii) if a nonlinear toll function is implemented, should it be convex, concave or other shape? Specifically, we consider distance-based pricing in linear cities. For linear monocentric cities with heterogeneous travelers, we show that the system optimal distance-based pricing indeed exhibits nonlinearity. It is proved that: (i) the cost-based system optimal toll function is monotonically increasing and concave with respect to the traveled distance; (ii) the time-based system optimal toll function always exists and is unique. If the initial proportion of each traveler group is invariant along a corridor and the demand function is of exponential type, then the time-based system optimal toll function enables the travelers, living further away from a city center, to face a lower toll level per unit distance. For a linear polycentric city, we demonstrate: (i) there always exists the system optimal differentiated (in terms of city centers) toll functions; (ii) it is highly possible that the system optimal non-differentiated toll function does not exist. Hence, we further propose an optimal toll design model, prove the Lipschitz continuity of its objective and adopt a global-optimization algorithm to solve it.     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.     

散货港区的智慧港口规划

本文结合某港散货港区智慧港口规划项目,介绍了该港南作业区智能化项目的核心在于构建一套适应现代散杂货港口发展趋势、突破传统散货港口作业模式的全新港口智能化系统.本次规划将物联网、大数据技术、AI人工智能、5G等新型基础设施与生产业务融合,创新生产作业流程及资源配置,显著提高港口的作业运营能力、物流协同能力、口岸支持能力、...     

基于红外路径识别的智能车控制系统设计

介绍一种基于模拟式红外光电传感器路径识别的智能车控制系统,使用飞思卡尔公司16位单片机MC9S12DG128为核心控制单元,采集红外传感器信号智能分析导引线路径信息,自动控制舵机转向,并对智能车的直流驱动电机实现PID调速控制。