A Space-time Path Supported Estimation Approach for Vehicles' Fuel-consumption and Emissions

• Main Authors: TANG Luliang, KAN Zihan, DUAN Qian, LI Qingquan
• Format: Article
• Language: zho
• Published: Surveying and Mapping Press 2017-12-01
• Series: Acta Geodaetica et Cartographica Sinica
• Subjects: energy-consumption; emissions; energy/emissions model; COPERT model; Space-time GIS; space-time path; big data
• Online Access: http://html.rhhz.net/CHXB/html/2017-12-2024.htm

The fuel-consumption and emissions from transportation present severe challenges to the human environment. This article proposes a novel approach of space-time path supported estimation for vehicles' fuel-consumption and emissions. In the proposed approach,space-time paths of vehicles are built under space-time integrated 3-dimensions coordinate firstly and mobile activities (MA) and stationary activities (SA) are extracted from these space-time paths. Then the approach estimates the fuel-consumption and emissions from each Space-Time Path Segment (STPS) and the moving parameters with COPERT model. Finally this article presents an N-Dimensional model for visualizing the moving characteristics,fuel-consumption and emissions of each STPS in an integrated frame. In the case study,fuel-consumption and emissions of a single vehicle and an area of road network are estimated and analyzed using GPS trace data. The results show that the space-time path supported approach is superior to the traditional average speed based approach in the aspects of precision and visualization. The proposed fuel-consumption and emissions estimating approach is effective in energy and emissions information acquisition.