Emission evaluation of inter-vehicle safety warning information systems. (December 2015)

• Record Type: Journal Article
• Authors: Jeong, Eunbi; Oh, Cheol; Lee, Gunwoo
• Is Part Of: Transportation research. Volume 41(2015)
• Page Start: 106
• Page End: 117
• Publication Date: 2015-12
• Subjects: Vehicle emissions -- Inter-vehicle safety warning system (ISWS) -- Microscopic traffic simulation -- MOVES; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2015.09.018
• Languages: English
• ISSNs: 1361-9209

Abstract

Highlights: Emission evaluations were conducted for inter-vehicle safety warning information systems. VISSIM was used to simulate a driver's responsive behavior when warning messages were delivered. A motor vehicle emission simulator (MOVES) was 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. Abstract: 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.