Predicting market potential and environmental benefits of deploying electric taxis in Nanjing,China

This paper investigates the market potential and environmental benefits of replacing internal combustion engine (ICE) vehicles with battery electric vehicles (BEVs) in the taxi fleet in Nanjing, China. Vehicle trajectory data collected by onboard global positioning system (GPS) units are used to study the travel patterns of taxis. The impacts of charger power, charging infrastructure coverage, and taxi apps on the feasibility of electric taxis are quantified, considering taxi drivers’ recharging behavior and operating activities. It is found that (1) depending on the charger power and coverage, 19% (with AC Level 2 chargers and 20% charger network coverage) to 56% (with DC chargers and 100% charger network coverage) of the ICE vehicles can be replaced by electric taxis without driving pattern changes; (2) by using taxi apps to find nearby passengers and charging stations, drivers could utilize the empty cruising time to charge the battery, which may increase the acceptance of BEVs by up to 82.6% compared to the scenario without taxi apps; and (3) tailpipe emissions in urban areas could be significantly reduced with taxi electrification: a mixed taxi fleet with 46% compressed-natural-gas-powered (CNG) and 54% electricity-powered vehicles can reduce the tailpipe emissions by 48% in comparison with the fleet of 100% CNG taxis.     

A capacity maximization scheme for intersection management with automated vehicles

With the advent of connected and automated vehicle technology, in this paper, we propose an innovative intersection operation scheme named as MCross: Maximum Capacity inteRsection Operation Scheme with Signals. This new scheme maximizes intersection capacity by utilizing all lanes of a road simultaneously. Lane assignment and green durations are dynamically optimized by solving a multi-objective mixed-integer non-linear programming problem. The demand conditions under which full capacity can be achieved in MCross are derived analytically. Numerical examples show that MCross can almost double the intersection capacity (increase by as high as 99.51% in comparison to that in conventional signal operation scheme).     

Distributed MPC for cooperative highway driving and energy-economy validation via microscopic simulations

Traffic congestion and energy issues have set a high bar for current ground transportation systems. With advances in vehicular communication technologies, collaborations of connected vehicles have becoming a fundamental block to build automated highway transportation systems of high efficiency. This paper presents a distributed optimal control scheme that takes into account macroscopic traffic management and microscopic vehicle dynamics to achieve efficiently cooperative highway driving. Critical traffic information beyond the scope of human perception is obtained from connected vehicles downstream to establish necessary traffic management mitigating congestion. With backpropagating traffic management advice, a connected vehicle having an adjustment intention exchanges control-oriented information with immediately connected neighbors to establish potential cooperation consensus, and to generate cooperative control actions. To achieve this goal, a distributed model predictive control (DMPC) scheme is developed accounting for driving safety and efficiency. By coupling the states of collaborators in the optimization index, connected vehicles achieve fundamental highway maneuvers cooperatively and optimally. The performance of the distributed control scheme and the energy-saving potential of conducting such cooperation are tested in a mixed highway traffic environment by the means of microscopic simulations.     

Statistical assessment of EV usage potential from user’s perspective considering rapid-charging technology

The aim of the German Government is the licensing of one million electric vehicles (EV) in Germany until 2020. However, the number of battery electric vehicles (EVs) today still is just above 25,000. There are several reasons for deciding against an EV, but especially low battery ranges as well as too long perceived charging duration inhibit the usage of an EV. To eliminate the negative influence of these two reasons on the decision to purchase an EV, a novel charging technology is established. The rapid-charging technology enables the user to recharge the battery to 80% of its state of charge (SOC) within 20–30 min. For the examination of the technology’s impact from (potential) user’s perspective, users and nonusers of battery electric vehicles were questioned about the perceived additional value of public rapid-charging infrastructure by taking into account different trip purposes and running comparisons to regular charging options. The results show an increased perceived value especially for trips with leisure purpose, considering their share of all trip purposes in Germany, according to the MiD 2008. In order to increase the number of licensed EVs in Germany, the study’s results also suggest further dissemination of information on rapid charging which might influence the perceived usefulness of the technology and consequentially the perceived usefulness of an EV.     

基于BIM的公路隧道运维管理系统设计与开发

近年来,我国公路隧道建设里程快速增长,但在隧道运维管理中存在技术落后、管理人员配置不足等问题。针对管理中存在的问题,本文提出将BIM(building information modeling,建筑信息模型)引入公路隧道的运维管理,通过制定具体实施规划及设计系统架构,实现可视化的公路隧道运维管理。以浙江省41省道岭下隧道工程为依托,建立基于BIM的公路隧道运维管理平台,为公路隧道运维管理提供一种直观、便捷的管理方式,提高公路隧道的信息化管理水平。     

State estimation in roll dynamics for commercial vehicles

Accurate lateral load transfer estimation plays an important role in improving the performance of the active rollover prevention system equipped in commercial vehicles. This estimation depends on the accurate prediction of roll angles for both the sprung and the unsprung subsystems. This paper proposes a novel computational method for roll-angle estimation in commercial vehicles employing sensors which are already used in a vehicle dynamic control system without additional expensive measurement units. The estimation strategy integrates two blocks. The first block contains a sliding-mode observer which is responsible for calculating the lateral tyre forces, while in the second block, the Kalman filter estimates the roll angles of the sprung mass and those of axles in the truck. The validation is conducted through MATLAB/TruckSim co-simulation. Based on the comparison between the estimated results and the simulation results from TruckSim, it can be concluded that the proposed estimation method has a promising tracking performance with low computational cost and high convergence speed. This approach enables a low-cost solution for the rollover prevention in commercial vehicles.     

城市混合交通控制设计理念与方法

针对我国城市特有的混合交通特性,在分析城市路网特征和交通流运行特征的基础上,确立了混合交通控制系统设计的基本理念。基于混合交通流理论,建立了城市交通控制的方法体系,包括匝道控制、单点控制、干线协调控制、区域协调控制以及公交优先控制。运用此设计理念与方法开发出的混合交通控制系统（HiCON）,在北京、青岛、福州三地的应用表明：车辆平均延误减少10％～20％,平均行程时间降低5%-10％。     

基于物联网技术的高速铁路综合维修物流监控系统

提出了基于物联网技术的高速铁路综合维修物流作业管理流程及监控系统组成,并对该系统实现的关键技术问题即多阅读器碰撞问题进行了Matlab仿真实验和现场试验,研究结果表明利用概率功率控制算法的阅读器,在阅读器5台以下的情况,高铁综合维修物流监控系统多阅读器可利用嵌入式软件监控范围超过3.5 m,可达到比较理想的状态,保证了该系统实现的可行性.     

分段矩形天窗对京沪高速铁路通过能力影响分析

本文以高速铁路天窗分段为基本研究单位,按照沿线途中大站将京沪高速铁路划分为若干天窗分段,分析天窗分段对列车运行的影响时间范围。在统计列车平均停站系数、停站时分和起停车附加时分等参数的基础上,计算列车一次停站的能力扣除系数以及天窗影响时间范围内通过能力的扣除值,得出京沪高速铁路在开设分段矩形天窗时线路通过能力的理论值以及限制区段。     

长江下游福南水道港航功能调整及涉港水域平面布置

福姜沙河段是长江下游唯一的两级分汊、三汊(福南、福中和福北)并存且通航的河段,目前右汊即福南水道为主航道所在,且其右岸也是中国最大内河港苏州港张家港港区的主要作业区所在。根据长江南京以下河段12.5 m深水航道建设方案以及福南水道上口、转弯段水深不足或通航水域宽度不足的情况,结合福南水道内的港口岸线利用及泊位分布现状及其规划,本文分区段论证实际将成为专用进港航道的福南水道的航道等级及航道尺度,并对水道内港作业水域重新进行了平面布置。最后,采用数学模型对调整后的水域布置进行回淤研究,并提出初步的减淤措施。