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Emission evaluation of inter-vehicle safety warning information systems

机译:车辆间安全警告信息系统的排放评估

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Driver inattentiveness is one of critical factors contributing to vehicle crashes. The inter-vehicle safety warning information system (ISWS) is a technology to enhance driver attentiveness by providing warning messages about upcoming hazards using connected vehicle environments. A novel feature of the proposed ISWS is its ability to detect hazardous driving events, such as abrupt accelerations and lane changes, which are defined as moving hazards with a higher potential of causing crashes. This study evaluated the effectiveness of the ISWS in reducing vehicle emissions and its potential for traffic congestion mitigation. This study included a field experiment that documented actual vehicle maneuvering patterns for abrupt accelerations and lane changes, which were used for more realistic simulation evaluations, in addition to normal accelerations and lane changes. Probe vehicles equipped with customized on-board units consisting of a global positioning system (GPS) device, accelerometer, and gyro sensor were used to obtain the vehicle maneuvering data. A microscopic simulator, VISSIM, was used to simulate a driver's responsive behavior when warning messages were delivered. A motor vehicle emission simulator (MOVES) was then used to estimate vehicle emissions. The results show that reduction in vehicle emissions increased when the ISWS's market penetration rate (MPR) and the congestion level of the traffic conditions increased. The maximum CO and CO2 emission reductions achieved were approximately 6% and 7%, respectively, under LOS D traffic conditions. The outcomes of this study can be valuable for deriving smarter operational strategies for ISWS to account for environmental impacts. (C) 2015 Elsevier Ltd. All rights reserved.
机译:驾驶员的注意力不集中是导致车辆撞车的关键因素之一。车内安全警告信息系统(ISWS)是一种技术,可通过在连接的车辆环境下提供有关即将发生的危险的警告消息来提高驾驶员的注意力。所提出的ISWS的一个新颖特征是它具有检测危险驾驶事件的能力,例如突然加速和车道变化,这些事件被定义为具有更高发生事故可能性的移动危险。这项研究评估了ISWS在减少车辆排放方面的有效性及其减轻交通拥堵的潜力。这项研究包括一个现场实验,该实验记录了突然加速和车道变化的实际车辆操纵模式,除了正常的加速度和车道变化,这些模式还用于更现实的仿真评估。探测车配备了定制的车载单元,包括全球定位系统(GPS)设备,加速计和陀螺仪传感器,以获取车辆操纵数据。发出警告消息时,使用了一个微观模拟器VISSIM来模拟驾驶员的响应行为。然后,使用机动车排放模拟器(MOVES)估算车辆排放。结果表明,随着ISWS的市场渗透率(MPR)和交通状况的拥堵程度增加,车辆排放量减少。在LOS D交通条件下,最大的CO和CO2排放量减少分别约为6%和7%。这项研究的结果对于为ISWS制定更智能的运营策略以解决环境影响可能非常有价值。 (C)2015 Elsevier Ltd.保留所有权利。

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