a MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation , Beijing Jiaotong University , Beijing , People's Republic of China.
b Xuchang University , Xuchang , Henan Province , People's Republic of China.
J Air Waste Manag Assoc. 2019 Apr;69(4):391-401. doi: 10.1080/10962247.2018.1506834. Epub 2019 Feb 12.
Signalized intersections have been identified as vehicle emission hotspots, where drivers decelerate, idle, and accelerate their vehicles in response to signal changes. Advanced traffic signal status warning systems (ATSSWSs) can be applied to reduce traffic emissions at intersections by mitigating unnecessary braking and acceleration. In this study, two types of ATSSWSs, variable message sign (VMS) based and vehicle-to-infrastructure (V2I) based, were designed, and their environmental effectiveness was evaluated through driving simulator-based experiments. Three scenarios were designed and tested: (1) baseline without an ATSSWS, (2) with the VMS-based ATSSWS, and (3) with the V2I-based ATSSWS. The Motor Vehicle Emission Simulator model was used to evaluate and compare the environmental effectiveness of these two types of ATSSWSs. The results indicate that the proposed ATSSWSs can reduce traffic emissions at signalized intersections. In particular, the V2I-based ATSSWS can substantially reduce CO, NOx, CO, and HC emissions. The results will help transportation practitioners with implementing advanced driver information systems and decision making on emission reduction policies. Implications: Signalized intersection has been identified as one of hottest spots for vehicle emissions where signal control causes vehicles to frequently decelerate, idle, and accelerate. Advanced Traffic Signal Status Warning Systems (ATSSWS) can be applied to reduce traffic emission at intersections by decreasing vehicles' unnecessary brakes and accelerations. The results of this study will assist transportation practitioners in implementing advanced driver information systems and making decisions on emission reduction policies.
信号交叉口已被确定为车辆排放的热点区域，驾驶员在此处会根据信号变化减速、怠速和加速车辆。先进的交通信号状态预警系统 (ATSSWS) 可用于通过减少车辆不必要的刹车和加速来减少交叉口的交通排放。在本研究中，设计了两种类型的 ATSSWS，基于可变信息标志 (VMS) 的和基于车对基础设施 (V2I) 的，并通过基于驾驶模拟器的实验评估了它们的环境效果。设计并测试了三个场景：(1) 没有 ATSSWS 的基线场景，(2) 具有 VMS 基 ATSSWS 的场景，和 (3) 具有 V2I 基 ATSSWS 的场景。使用机动车排放模拟器模型来评估和比较这两种类型的 ATSSWS 的环境效果。结果表明，所提出的 ATSSWS 可以减少信号交叉口的交通排放。特别是，基于 V2I 的 ATSSWS 可以显著减少 CO、NOx、CO 和 HC 的排放。研究结果将有助于交通从业人员实施先进的驾驶员信息系统和制定减排政策。
信号交叉口已被确定为车辆排放的热点区域之一，信号控制导致车辆频繁减速、怠速和加速。先进的交通信号状态预警系统 (ATSSWS) 可用于通过减少车辆不必要的刹车和加速来减少交叉口的交通排放。本研究的结果将有助于交通从业人员实施先进的驾驶员信息系统和制定减排政策。
