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

doi:10.11947/j.AGCS.2017.20160439

Abstract

Abstract: 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.

Key words: energy-consumption, emissions, energy/emissions model, COPERT model, Space-time GIS, space-time path, big data

CLC Number:

U491.254

TANG Luliang, KAN Zihan, DUAN Qian, LI Qingquan. A Space-time Path Supported Estimation Approach for Vehicles' Fuel-consumption and Emissions[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(12): 2024-2031.

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