De l’intérêt de contrôler l’impact des hypothèses de composition du parc automobile sur l’estimation des émissions liées au trafic routier

Since the 1990s, transport project assessments take systematically pollutant emission estimations into account. This paper is about the methodological aspects of these calculations. It focuses more specifically on the car fleet hypothesis, which most often lays on national data, without consideration of local specificities. We use the last household travel survey from Lyon, 2006, and the SIMBAD model to compare the results of CO₂ and NO_x emissions estimated from the French national car fleet, the aggregated Lyon car fleet and the same fleet disaggregated by household location and income. We show that the error level varies, depending on the pollutant and the observation scale. The use of an aggregated local car fleet seems interesting and satisfactory for a global emission assessment. If the results are required at a more detailed spatial level, the use of this local fleet improves sharply the estimations in comparison of a national fleet; the fleet disaggregation refines the results for NO_x.     

基于多源公交数据和车时成本优化的公交运营时段划分方法

现有公交运营时段划分方法均基于单一参数（乘客需求或行程时间）的相似性,忽略了乘客需求与行程时间对时段划分方案的协同作用。针对传统方法的缺陷,利用多源公交数据,提出一种新的基于最小化车队运营时间成本的时段划分方法。首先,利用逆差函数模型计算时间窗内完成班次任务所需要的最小车队规模,进而利用滑动时间窗模型,计算全天各时间窗所需的理论最小车队规模。然后,以时段划分方案的时间分割点为决策变量,以最小化全天累计车队运营时间成本为目标建立优化模型,采用遗传算法对运营时段划分方案进行寻优。最后,以广州市87路公交线路实际数据为例进行验证,并对模型参数进行敏感性分析。研究结果表明：与传统方法相比,所提方法能更好地实现运力与运量相匹配,并有效降低车时成本;与以往基于断面客流和基于行程时间的划分方案相比,所提方案的车时成本分别降低25 veh·h和45.33 veh·h。     

基于海铁联运的集装箱班列服务路径优化

虑考虑海铁联运过程中影响集装箱班列开行的不确定因素,结合班列服务客户各自固定需求时间窗的实际需求,引入不确定规划区间来表示集装箱在客户节点的装卸箱服务时间,同时将具有时效性要求的需求时间窗设置为软约束,运用惩罚函数将其作为惩罚项整合到运输成本目标函数中,选择合理的惩罚系数,构建以运输成本低、运输时间少为目标的班列服务路...     

Effect of direct in-cylinder CO2 injection on HCCI combustion and emission characteristics

Fuel injection during negative valve overlap period was used to realize diesel homogeneous charge compression ignition (HCCI) combustion. In order to control the combustion, CO₂ in-cylinder injection was used to simulate external EGR. Effects of CO₂ injection parameters (injection timing, quantity, pressure) on HCCI combustion and emission characteristics were investigated. Experimental results revealed that CO₂ in-cylinder injection can control the start of combustion and effectively reduce NO_x emission. Either advancing CO₂ injection timing or increasing CO₂ injection quantity can reduce peak cylinder pressure and mean gas temperature, delay the starts of low temperature reaction (LTR) and high temperature reaction (HTR), and lower pressure rise rate; NO_x emission was reduced, while smoke, HC, and CO emissions increased. Since the combustion phase was improved, the indicated thermal efficiency was also improved. Injection pressure determines the amount of disturbance introduced into the cylinder. Generally, with the same injection quantity, higher injection pressure results in higher momentum flux and total momentum. Larger momentum flux and momentum has a stronger disturbance to air-fuel mixture, resulting in a more homogeneous mixture; therefore, larger injection pressure leads to lower NO_x and smoke emissions.     

A study on the timing of Asian metropolitan railway development with motorization and its effect on CO2 emissions from transportation

In metropolitan areas of developing and emerging economies in Asia, a remarkable phenomenon of motorization with rapid economic growth is accelerating a continuous formation of auto-dependent urban structures. The delayed timing of urban railway introduction could contribute to a negative spiral of motorization, which could provoke a severe increase in CO₂ emissions from transportation sector. In this paper, we attempt to evaluate the timing of urban railway station development based on the level of automobile share and an analysis of the CO₂ emissions in the catchment areas of newly introduced urban railway stations in Asian metropolitan areas; Japan, Malaysia and Indonesia. The result quantitatively reveals that the earlier development of the stations in comparison to the progress of motorization tended to result in a statistically significant reduction of CO₂ emissions from transportation year-by-year in the catchment areas. In addition, this study demonstrates statistically that urban development harmonized with urban railway systems with a higher service frequency should be a key factor on the strategic realization of low-carbon urban forms along public transportation corridors.     

A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications

This article presents a novel intersection traffic management system for automated vehicles and quantifies its impact on fuel consumption and greenhouse gas emissions of CO₂ relative to traditional traffic signal and roundabout intersection control. The developed intelligent traffic management (ITM) techniques, which are based on a spatiotemporal reservation scheme, ensure that vehicles proceed through the intersection without colliding with other vehicles while at the same time reducing the intersection delay and environmental impacts. Specifically, the spatiotemporal reservation scheme provides each vehicle a collision-free path that is decomposed into a speed profile along with navigational instructions. The integration of the developed microscopic traffic simulator with instantaneous emission model, provides improved assessments of the environmental impact of traffic control strategies at intersections. The simulator architecture integrates several ITM algorithms, vehicle sensors, V2V/V2I communications, and emission and fuel consumption models. Each vehicle is modeled by an agent and each agent provides information depending on the specific vehicle sensors. The ITM system is supported by V2V and V2I communications, allowing the exchange of information among vehicles and infrastructure. The data include the estimated vehicle position and speed. Compared with traditional traffic management techniques, the simulation results prove that the proposed ITM system reduces CO₂ emissions significantly. The research also shows that these reductions are more significant when the traffic flow increases.     

轻型汽车实际行驶排放评估方法研究

按照轻型汽车实际行驶排放测试流程,采用便携式排放测试系统测量3辆满足《轻型汽车污染物排放限值及测量方法(中国第五阶段)》要求的轻型汽车实际行驶排放,并使用欧盟提出的移动平均窗口法对排放数据进行处理。结果表明:冷起动阶段的CO,NO_x和PN排放占整个试验总排放的比例分别为69.9%,23.1%和68.8%。将冷起动阶段排放纳入计算时,CO,NO_x和PN的排放结果分别比剔除冷起动阶段排放的结果高19.5%,4.3%和16.3%。温和驾驶时车辆CO_2排放较低,导致过多窗口无法落入正常区域,窗口不能满足正常性要求。欧盟提出的移动平均窗口法不适合直接用于评估中国轻型汽车实际行驶排放,对基本公差tol1进行修正,随着tol1的增加,落入正常区域的窗口随之增多,试验通过正常性要求的比例也随之增大,但tol1的修正会带来巨大的标定工作量。     

Numerical study to evaluate the characteristics Of HVAC-related Parameters to reduce CO<Subscript>2</Subscript> concentrations in cars

Today, as people are spending increasing amounts of time in their cars, they have come to recognize that the car should function as a “residential” space. An eco-friendly indoor environment that provides comfort in terms of visual, tactile, and auditory senses is needed for the driver and the passengers. The quality of the car’s indoor environment was evaluated on various factors, such as indoor thermal comfort, indoor air quality, smell, and noise. For the indoor air quality, the typical pollutants that degrade the air quality are CO₂, volatile organic compounds, and exhaust gases. Especially, CO₂ has a direct relationship with drowsy driving which leads to traffic accidents. There have been many experimental and analytical studies to reduce the level of CO₂ in a short time, but analyses of parameters that affect indoor CO₂ concentration are insufficient and comprehensive standards for evaluating the car indoor CO₂ concentration do not yet exist. In this study, several parameters were selected that can influence the reduction rate of CO₂ concentration, and a series of computational analyses were conducted to study the results of these parameters in CO₂ reduction. Based on this study, a prediction equation for CO₂ concentration was derived. For this, a general full factorial design was used to evaluate the CO₂ reduction characteristic based on various parameters (ventilation mode, boarding condition, vent angle, mass flow rate, and operation mode), and then their effects were analyzed to obtain an evaluation database of indoor air quality. From that, a prediction equation was derived to estimate the indoor air quality, enabling us to evaluate the CO₂ concentration quickly that actually influences the human body without carrying out time-consuming CFD analyses for CO₂ concentration. This study will be useful in designing HVAC systems and establishing the control logic for effective improvement of the car’s indoor air quality in the future.     

Évolution des émissions de CO2 liées aux mobilités quotidiennes: une stabilité en trompe l’œil

Alternatives to the use of automobiles have regained attention at the urban level. Against this background, we look at the spatial context of this attention in the agglomeration of Lyon. More specifically, we look at how CO₂ emissions that are associated with everyday mobility have developed until recently. First, we estimate the intensity of CO₂ emissions per day based on the last two household travel surveys done in the Lyon conurbation in 1995 and 2006. Even if the global emission level remains stable, we aim to analyze the dynamics of the socio-economic evolution of mobility between the two periods. To that end, we have abstracted the linkage of a specific form of mobility (mode of transport and distance) to a specific population group (status, residential location, car access, gender). This typology helps us highlight the groups where emission rates are significantly higher, and where the focus on emission reduction should be intensified.     

Exhaust emissions and its control methods in compression ignition engines: A review

Extensive usage of automobiles has certain disadvantages and one of them is its negative effect on environment. Carbon dioxide (CO₂), carbon monoxide (CO), hydrocarbons (HC), oxides of nitrogen (NO_x), sulphur dioxide (SO₂) and particulate matter (PM) come out as harmful products during incomplete combustion from internal combustion (IC) engines. As these substances affect human health, regulatory bodies impose increasingly stringent restrictions on the level of emissions coming out from IC engines. This trend suggests the urgent need for the investigation of all aspects relevant to emissions. It is required to modify existing engine technologies and to develop a better after-treatment system to achieve the upcoming emission norms. Diesel engines are generally preferred over gasoline engines due to their undisputed benefit of fuel economy and higher torque output. However, diesel engines produce higher emissions, particularly NO_x and PM. Aftertreatment systems are costly and occupy more space, hence, in-cylinder solutions are preferred in reducing emissions. Exhaust gas recirculation (EGR) technology has been utilized previously to reduce NO_x. Though it is quite successful for small engines, problem persists with large bore engines and with high rate of EGR. EGR helps in reducing NO_x, but increases particulate emissions and fuel consumption. Many in-cylinder solutions such as lower compression ratios, modified injection characteristics, improved air intake system etc. are required along with EGR to accomplish the future emission norms. Modern combustion techniques such as low temperature combustion (LTC), homogeneous charge compression ignition (HCCI), premixed charge compression ignition (PCCI) etc. would be helpful for reducing the exhaust emissions and improving the engine performance. However, controlling of autoignition timing and achieving wider operating range are the major challenges with these techniques. A comprehensive review of diesel engine performance and emission characteristics is given in this paper.     

Evaluating the use of an urban consolidation centre and electric vehicles in central London

The paper focuses on the role that can be played by urban consolidation centres (UCCs) in reducing freight traffic and its environmental impacts in towns and cities. It is based on the before and after evaluation of a trial led by a major stationery and office supplies company in which urban freight deliveries in central London made from a depot in the suburbs using diesel vehicles were replaced with the use of an urban micro-consolidation centre located in the delivery area together with the use of electrically-assisted cargo tricycles and electric vans. The results show that the total distance travelled and the CO₂eq emissions per parcel delivered fell by 20% and 54% respectively as a result of this delivery system. However, the evaluation has also indicated that the distance travelled per parcel rose substantially in the City of London delivery area as a result of the electric vehicles having far smaller load limits in both weight and volume compared with diesel vans. But, at the same time, the trial system was able to virtually eliminate CO₂eq emissions per parcel delivered in the City of London. The trial proved successful from the company's perspective in transport, environmental and financial terms. The company therefore decided to continue the operation beyond the end of the trial with it being officially launched during 2010.     

Evaluation and visualization of stratified ultra-lean combustion characteristics in a spray-guided type gasoline direct-injection engine

To comply with reinforced emission regulations for harmful exhaust gases, including carbon dioxide (CO₂) emitted as a greenhouse gas, improved technologies for reducing CO₂ and fuel consumption are being developed. Stable lean combustion, which has the advantage of improved fuel economy and reduced emission levels, can be achieved using a sprayguided-type direct-injection (DI) combustion system. The system comprises a centrally mounted injector and closely positioned spark plugs, which ensure the combustion reliability of a stratified mixture under ultra-lean conditions. The aim of this study is to investigate the combustion and emission characteristics of a lean-burn gasoline DI engine. At an excess air ratio of 4.0, approximately 23% improvement in fuel economy was achieved through optimal event timing, which was delayed for injection and advanced for ignition, compared to that under stoichiometric conditions, while NO_x and HC emissions increased. The combustion characteristics of a stratified mixture in a spray-guided-type DI system were similar to those in DI diesel engines, resulting in smoke generation and difficulty in three-way catalystutilization. Although a different operating strategy might decrease fuel consumption, it will not be helpful in reducing NO_x and smoke emissions; therefore, alternatives should be pursued to achieve compliance with emission regulations.     

基于SST-DDES方法的汽车外气动噪声模拟与风洞试验对标分析

随着新能源汽车行业的迅猛发展,行驶过程中发动机噪声的贡献消失,气动噪声成为了最容易引起顾客抱怨的问题。相关研究表明,通过侧窗玻璃表面脉动压力产生的湍流脉动和声场是汽车在高速行驶时的主要噪声源。基于开源软件OpenFOAM,采用SST-DDES湍流模型,分别对两款不同车型的前后侧窗玻璃24个点的表面脉动压力进行了数值模拟计算,并与风洞试验测试相结合进行验证。结果表明,仿真结果与试验结果基本吻合,证明了该方法可以有效捕捉侧窗玻璃的表面脉动压力结果,为后续的车内噪声计算打下基础,同时也有效缩短了开发周期,并降低了后期实车风洞试验的测试成本。     

Coûts d’opportunité de construction des infrastructures routières et ferroviaires en Aquitaine pour la période 2007–2013 sous contrainte du Plan climat régional

The French Aquitaine region has implemented a climate plan to avoid 2,883 ktCO₂eq for 2007–2013. Although this region reduced its greenhouse gas (GHG) emissions by 1,119 ktCO₂eq between 1990 and 2005 (from 24,061 ktCO₂eq to 22,942 ktCO₂eq), GHG emissions of transports sector has increased by 762 ktCO₂eq. During the climate plan period, the region will implement projects of road and rail infrastructures construction in order to absorb the foreseen increase of traffic. These projects will contribute to economic development, but they also will provoke additional GHG emissions. But, the existence of a climate plan requires offsetting these GHG emissions. A maximum amount of budget will be determined in order to implement some projects to offset GHG emissions from road and rail projects. This budget will be equal to opportunity costs of road and rail projects. Input-output analysis will be used to carry out these calculations. Its interest is to incorporate the complexity of interindustrial trade with a detailed sectored study.     

Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility

This research applies R-Markov Average Reward Technique based reinforcement learning (RL) algorithm, namely RMART, for vehicular signal control problem leveraging information sharing among signal controllers in connected vehicle environment. We implemented the algorithm in a network of 18 signalized intersections and compare the performance of RMART with fixed, adaptive, and variants of the RL schemes. Results show significant improvement in system performance for RMART algorithm with information sharing over both traditional fixed signal timing plans and real time adaptive control schemes. The comparison with reinforcement learning algorithms including Q learning and SARSA indicate that RMART performs better at higher congestion levels. Further, a multi-reward structure is proposed that dynamically adjusts the reward function with varying congestion states at the intersection. Finally, the results from test networks show significant reduction in emissions (CO, CO₂, NO_x, VOC, PM₁₀) when RL algorithms are implemented compared to fixed signal timings and adaptive schemes.     

Emission analysis of a compressed natural gas directinjection engine with a homogenous mixture

In an era in which environmental pollution and depletion of world oil reserves are of major concern, emissions produced by automotive vehicles need to be controlled and reduced. An ideal solution is to switch to a cleaner fuel such as natural gas, which generates cleaner emissions. In addition, control over the in-cylinder air-fuel mixture can be best achieved through a direct-injection mechanism, which can further improve combustion efficiency. This need for cleaner automobiles provides the motivation for this paper’s examination of the use of computational fluid dynamic (CFD) simulations to analyze the concentrations of the exhaust gases produced by a compressed natural gas engine with a direct-fuel-injection system. In this work, a compressed natural gas direct-injection engine has been designed and developed through a numerical simulation using computational fluid dynamics (CFD) to provide an insight into complex in-cylinder behavior. The emissions analyzed in this study were carbon monoxide (CO), nitric oxide (NO) and carbon dioxide (CO₂), i.e. the main pollutants produced by natural gas combustion. Based on a stoichiometric mixture, the concentrations of CO and NO were computed using the dissociation of carbon dioxide and the extended Zeldovich mechanism. CO₂ was calculated using a mass balance of the species involved in the combustion process. The simulation results were then compared with the experimental data generated by a single-cylinder research engine test rig. A good agreement was obtained with the experimental data for the engine speeds considered for all emissions concentrations.     

考虑路况、配送员与顾客满意度的冷链物流车辆配送路径优化方法

在城市交通拥堵日益严重的背景下，为解决冷链货物配送时效性较差、顾客满意度低以及配送员积极性不高等问题，研究了以总成本与满意度为目标的冷链物流车辆路径优化方法。采集并拟合了工作日、节假日、双休日交通拥堵指数趋势图，得到道路交通拥堵时间分布规律，提出了不同时期、时段内道路路段节点之间的实际通行时间计算方法；设计了配送员薪资与工作强度相结合的评价指标，构建了基于灰色白化权函数的配送员满意度评价模型。考虑随机需求、满意度和时间窗等约束，构建了多目标车辆路径优化模型；针对多目标模型求解的复杂性，设计了改进的自适应大规模邻域搜索算法，算法搜索过程中充分利用其算子的自适应性，有效平衡了NSGA-II算法大规模寻优与耗时之间的关系。以经典的Sioux-Falls交通网络为例进行算例分析，结果表明:①考虑配送员满意度模型后，在工作日、节假日、双休日总成本分别增加了2.05%、1.93%和1.16%，但配送员满意度分别提高了39.43%、46.26%和57.37%，顾客满意度平均提高了1.16%、4.76%和9.75%，运输时间缩短了2.42%、7.34%与8.41%。②以配送总成本最小为主要目标时，当需求变动（即随机需求的标准差σ＝1，2，3，4，5）时，得到的缺货成本比未考虑随机需求模型的结果分别增加了0.79%、0.89%、0.93%、0.94%和0.95%，印证了顾客随机需求对企业配送成本产生的影响。所提模型和算法为冷链物流管理中提升配送员和顾客满意度提供了一定的理论基础。      

La voie étroite du « facteur 4 » dans le secteur des transports: quelles politiques publiques, pour quelles mobilités ?

Today, numerous works conclude that transport seems to be completely coupled to economic and export/import growth. Therefore, as a direct consequence of economic development, transport sits today as one of the major final energy consumers and as one of the most important sources of carbon dioxide emissions. Consequently, this situation of continuous increase in transport clearly poses an environmental problem. In this paper, we propose to asses a certain number of possible solutions through scenario building in a backcasting manner using the TILT (Transport Issues in the Long Term) model. In particular, we evaluate three different scenarios that address how technology and different public policies can contribute towards a sharp reduction in CO₂ emissions. Each scenario allows a quick comprehension of the types of results that can be obtained through different policy mixes. In sum, realistic technological hypothesis show that a 50% reduction in emissions, from the 2000 level, is a clear possibility, and that the remaining 25% reduction in emissions is possible through different types of policy mixes.     

基于客户价值和满意度的城市冷链物流时变路径问题

针对车辆保有量日益增加和拥堵情况日趋严重而造成的城市冷链物流时效性不强、客户价值不高、顾客满意度降低等问题，综合考虑客户价值、客户满意度以及成本等因素，提出一种城市冷链物流时变路径优化方法。考虑到冷链配送过程中不同时段的道路拥堵问题，采用分段函数刻画车辆行驶速度，并同时考虑时间窗和车辆载重量等约束，建立了多目标数学模型。使用线性加权法和主要目标法对多目标进行处理，将其转换成单目标数学模型。结合问题NP难特性，设计了单亲遗传算法对小、中、大规模算例进行了求解，结果表明：与未考虑客户价值模型相比，该模型在平均增加3.28%成本的情况下，提高14.96%的客户价值和14.64%的满意度；与未考虑成本模型相比，该模型在减少1.55%的客户价值的前提下，节约17.32%的成本；对比静态路网模型，模型减少0.92%的成本，提高6.27%的客户满意度和16.06%的客户价值。通过对目标函数中成本权重和客户价值权重进行参数分析，表明成本和客户价值之间存在明显的背反关系。     

Heat exchanger/catalytic system for reducing the exhaust emissions from diesel engines

A system has been researched over the past 3 years for reducing the exhaust pollutants from diesel engines for light commercial vehicles. The system researched achieves Euro 6 standards for reduction of polluting gases (CO, HC, PM, NO). It consists of 4 main sections: 1. A heater and heat exchanger (HE); 2. A CO/HC oxidising catalyst (D°C); 3. Pt catalyst on a diesel particulate filter (DPF); 4. A NO reducing reaction (SCR) within the DPF. The system operates as follows. The exhaust gas contains oxidising gases, namely both O₂ and NO₂. The levels of CO and HC are oxidised by O₂ to CO₂ for temperatures above 200°C. Carbon (PM) is oxidised to CO₂ by NO₂ but requires a temperature above 250°C. The operating exhaust temperature of 300°C is ideal for the removal of NO by using the Pt catalyst and the CO generated within the DPF. The heater is required to be able to raise the exhaust temperature at any time to 300°C in order to optimise the performance of the system, since diesel engine exhaust temperatures vary between 160°C (slow speeds) to 350°C (high speeds). Considerable heat is required (??3 kW) to maintain the exhaust gas for a 2l engine at 300°C for engine idle conditions. Therefore a heat exchanger is required to re-circulate the input heat and thereby reduce the maximum power consumption to a maximum of 500W over the engine full operating test cycle. This energy is supplied by the engine battery and alternator. Experimental results have been obtained for the exhaust from a Kubota diesel engine and the reductions in exhaust emissions of 83% (CO/ HC), 58% (NOx) and 99% (PM) were obtained. The PM was continuously cleaned so that there was no build up of back pressure.