基于ISO 26262的车道偏离预警系统概念设计与仿真

以道路车辆功能安全规范标准ISO 26262为准则,对汽车的车道偏离预警系统（LDWS）进行了概念设计。首先分析了ISO 26262功能安全规范概念阶段的活动内容,并在此基础上,完成车道偏离预警系统的项目定义、危险分析和评估,设计了功能安全概念的相关工作,确定了功能安全等级和安全目标。最后搭建了UML仿真模型对LDWS概念设计阶段进行仿真测试,测试结果表明此设计能够满足ISO 26262规范标准,实现了车道偏离预警系统的功能安全概念设计,对车道偏离预警系统的安全开发具有指导意义。     

Competing land uses and fossil fuel,and optimal energy conversion rates during the transition toward a green economy under a pollution stock constraint

We study the transition to a carbon-free economy in a model with a polluting non-renewable resource and a clean renewable resource. Transforming primary energy into ready-to-use energy services is costly and more efficient energy transformation rates are more costly to achieve. Renewable energy competes with food production for land and the food productivity of land can be improved at some cost. To avoid catastrophic climate damages, the pollution stock is mandated to stay below a given cap. When the economy is not constrained by the cap, the efficiency of energy transformation increases steadily until the transition toward the ultimate green economy; when renewable energy is exploited, its land use rises at the expense of food production; food productivity increases together with the land rent but food production drops; the food and energy prices increase and renewables substitute for non-renewable energy. During the constrained phase, the economy follows a constant path of prices, quantities, efficiency rates, food productivity and land rent, a phenomenon we call the ‘ceiling efficiency paradox’.     

Two-way left turn lane or raised median? A truck safety based study

Introduction: Due to their size and weight, trucks require more space and time to make left turns when exiting or entering a roadway. Therefore, appropriate median treatments are critical for roadways with substantial truck traffic. The two-way left-turn lane (TWLTL) and raised median (RM) are the two types of median most commonly used to improve roadway mobility and manage roadway accessibility. However, previous studies on these median treatments have focused primarily on the general traffic conditions and geometric roadway features without considering the truck traffic impact. Method: To fill this gap, this study investigates the truck impacts on TWLTL and RM by considering two major influencing factors – truck percentage and roadway access point density. First, a negative binomial regression is developed to analyze the relationship between crash frequency and various influencing factors. Next, the crash rate difference analysis between the TWLTL and RM is conducted to identify critical points for these two factors. Results: The findings indicate that, compared with RM, TWLTL has significantly higher crash frequency, especially for roadways with a higher percentage of trucks. This suggests that the percentage of trucks should be taken into consideration when selecting an appropriate type of roadway median.     

高速公路货车事故成因及货车专用道分析

为减少货车对行车安全的影响,在充分考虑货车行驶理论、交通环境和驾驶员特征的基础上,就载重货车交通对高速公路运营安全的影响进行研究。其结果表明,不同车型之间的运行速度差异、超载、驾驶员不良交通行为及纵向间距不足等是造成货车交通事故的主要原因。通过分析货车事故与交通状况的关系,从工程技术可行性等角度提出了货车专用道的设计方法,以有效执行客货分行,提高高速公路运营安全水平。     

贵州普定喀斯特关键带土壤重金属形态特征及风险评价

采用BCR分步提取法对普定喀斯特关键带不同土地利用方式下土壤重金属(如Cd、 Cr、 Zn、 Fe、 Ni和Mn)的分布及其形态进行分析,评估了重金属的生物有效性以及生态环境潜在风险.结果表明,土壤重金属Fe、 Zn、 Cr和Ni主要以残渣态的形式存在,不易被生物所利用;而Cd和Mn的有效态含量较高,有较强的迁移性和生物有效性.普定土壤中丰富的有机质有利于重金属Cd、 Fe、 Cr和Ni的可氧化态转化,Ni、 Fe和Mn的可氧化态倾向于富集在土壤大团聚体内.风险评估指数法(RAC)和次生相与原生相分布比值法(RSP)评估结果显示,普定土壤表现出轻微生态危害,土壤中大部分重金属(除Cd)对生态环境有较低的风险,耕地和弃耕地中Cd对环境构成的风险更高,与施肥和喷洒农药等活动造成土壤中外源金属元素输入有关.     

Quantifying Vision Zero: Crash avoidance in rural and motorway accident scenarios by combination of ACC,AEB, and LKS projected to German accident occurrence

Abstract

Objective: The Vision Zero initiative pursues the goal of eliminating all traffic fatalities and severe injuries. Today’s advanced driver assistance systems (ADAS) are an important part of the strategy toward Vision Zero. In Germany in 2018 more than 26,000 people were killed or severely injured by traffic accidents on motorways and rural roads due to road accidents. Focusing on collision avoidance, a simulative evaluation can be the key to estimating the performance of state-of-the-art ADAS and identifying resulting potentials for system improvements and future systems.

This project deals with the effectiveness assessment of a combination of ADAS for longitudinal and lateral intervention based on German accident data. Considered systems are adaptive cruise control (ACC), autonomous emergency braking (AEB), and lane keeping support (LKS).

Methods: As an approach for benefit estimation of ADAS, the method of prospective effectiveness assessment is applied. Using the software rateEFFECT, a closed-loop simulation is performed on accident scenario data from the German In-Depth Accident Study (GIDAS) precrash matrix (PCM). To enable projection of results, the simulative assessment is amended with detailed single case studies of all treated cases without PCM data.

Results: Three categories among today’s accidents on German rural roads and motorways are reported in this study: Green, grey, and white spots.

Green spots identify accidents that can be avoided by state-of-the-art ADAS ACC, AEB, and LKS. Grey spots contain scenarios that require minor system modifications, such as reducing the activation speed or increasing the steering torque. Scenarios in the white category cannot be addressed by state-of-the-art ADAS. Thus, which situations demand future systems are shown. The proportions of green, grey, and white spots are determined related to the considered data set and projected to the entire GIDAS.

Conclusions: This article describes a systematic approach for assessing the effectiveness of ADAS using GIDAS PCM data to be able to project results to Germany. The closed-loop simulation run in rateEFFECT covers ACC, AEB, and LKS as well as relevant sensors for environment recognition and actuators for longitudinal and lateral vehicle control.

Identification of green spots evaluates safety benefits of state-of-the-art level 0–2 functions as a baseline for further system improvements to address grey spots. Knowing which accidents could be avoided by standard ADAS helps focus the evolution of future driving functions on white spots and thus aim for Vision Zero.     

Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study

Objective: Lane changes with the intention to overtake the vehicle in front are especially challenging scenarios for forward collision warning (FCW) designs. These overtaking maneuvers can occur at high relative vehicle speeds and often involve no brake and/or turn signal application. Therefore, overtaking presents the potential of erroneously triggering the FCW. A better understanding of driver behavior during lane change events can improve designs of this human–machine interface and increase driver acceptance of FCW. The objective of this study was to aid FCW design by characterizing driver behavior during lane change events using naturalistic driving study data.

Methods: The analysis was based on data from the 100-Car Naturalistic Driving Study, collected by the Virginia Tech Transportation Institute. The 100-Car study contains approximately 1.2 million vehicle miles of driving and 43,000 h of data collected from 108 primary drivers. In order to identify overtaking maneuvers from a large sample of driving data, an algorithm to automatically identify overtaking events was developed. The lead vehicle and minimum time to collision (TTC) at the start of lane change events was identified using radar processing techniques developed in a previous study. The lane change identification algorithm was validated against video analysis, which manually identified 1,425 lane change events from approximately 126 full trips.

Results: Forty-five drivers with valid time series data were selected from the 100-Car study. From the sample of drivers, our algorithm identified 326,238 lane change events. A total of 90,639 lane change events were found to involve a closing lead vehicle. Lane change events were evenly distributed between left side and right side lane changes. The characterization of lane change frequency and minimum TTC was divided into 10 mph speed bins for vehicle travel speeds between 10 and 90 mph. For all lane change events with a closing lead vehicle, the results showed that drivers change lanes most frequently in the 40–50 mph speed range. Minimum TTC was found to increase with travel speed. The variability in minimum TTC between drivers also increased with travel speed.

Conclusions: This study developed and validated an algorithm to detect lane change events in the 100-Car Naturalistic Driving Study and characterized lane change events in the database. The characterization of driver behavior in lane change events showed that driver lane change frequency and minimum TTC vary with travel speed. The characterization of overtaking maneuvers from this study will aid in improving the overall effectiveness of FCW systems by providing active safety system designers with further understanding of driver action in overtaking maneuvers, thereby increasing system warning accuracy, reducing erroneous warnings, and improving driver acceptance.     

国外物质流分析研究进展

回顾了国外物质流分析研究的起源和发展,并对其主流研究方法作一概述;探讨了物质流分析研究框架及指标体系的发展及应用,对30余个国家的指标体系使用情况做一统计;总结了国外已研究物质流分析的主要国家物质流分析信息的应用情况;指出了国外物质流分析研究的不足之处。     

COMPUTER-AIDED PLANNING FOR MULTIPLE-PURPOSE RESERVOIR OPERATING POLICIES1

ABSTRACT: Computer-aided planning (CAP) for multiple-purpose reservoir operations involves use of state-of-the-art simulation and optimization methods, color graphic displays, and interactive computing interfaces. These technologies were integrated into a coherent system that has user-friendly interfaces to help the process of communicating reservoir system operations, solicit planning participant preferences and valuation judgments, and provide understandable feedback of system performance. The CAP system was imbedded in a comprehensive public involvement program that paralleled the reservoir operating policy modeling process, as part of multipurpose reservoir operations planning on the Great Plains Reservoirs in Colorado. Experience with the approach indicates the involved publics can quickly learn of reservoir system limitations and opportunities, and can indeed participate in the operations planning process.     

外源氮输入对不同土地利用排水沟底泥反硝化和N2O排放影响

农田排水沟通过底泥硝化-反硝过程可消纳部分农业面源氮.水稻、蔬菜和水果是太湖地区种植业的主要土地利用类型,各种植区排水河沟密布,且不同种植区沟道接受外源氮差异明显,直接影响沟道消纳氮能力.分别采集太湖地区果园、稻田和菜地种植区排水沟道沉积物,设计上覆水N0、N1、N2、N3和N4这5个外源NO-3-N输入梯度,净氮输入量分别为0、0.5、1.0、5.0和10 mg·L~(-1),开展室内培养试验,研究外源氮输入对不同土地利用区排水沟道底泥反硝化和N2O排放的影响.结果表明,外源氮输入激发了排水沟底泥反硝化作用,3条沟道底泥反硝化速率均随上覆水NO-3-N输入浓度增大显著增大(P0.05),底泥累积反硝化量与输入NO-3-N浓度呈显著线性正相关关系(R20.75);除菜地外,沟道底泥N2O排放速率和累积排放量随外源NO-3-N输入浓度增大均无显著增大趋势(P0.05).在无外源氮或低外源氮输入时(N0和N1),果园、菜地和稻田种植区3种沟道之间底泥反硝化和N2O排放累积损失氮量的差异不显著(P0.05).随NO-3-N输入浓度增大,特别是高外源氮输入(N3和N4)条件下,果园和稻田排水沟道底泥反硝化消纳氮量显著高于菜地沟道底泥反硝化损失氮量(P0.05),而菜地排水沟底泥N2O排放损失氮量显著高于其它2条沟道底泥的N2O排放损失氮量(P0.05).排水沟底泥有机碳矿化速率与反硝化损失速率成正相关关系(n=15),微生物矿化(CO2-C)作用促进了沟道底泥硝化反硝过程.