Modeling Traffic Flow, Energy Use, and Emissions Using Google Maps and Google Street View: The Case of EDSA, Philippines

Joshua Ezekiel Rito, Neil Stephen Lopez and Jose Bienvenido Manuel Biona
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Joshua Ezekiel Rito: Mechanical Engineering Department, De La Salle University, Manila 0922, Philippines
Neil Stephen Lopez: Mechanical Engineering Department, De La Salle University, Manila 0922, Philippines
Jose Bienvenido Manuel Biona: Mechanical Engineering Department, De La Salle University, Manila 0922, Philippines

Sustainability, 2021, vol. 13, issue 12, 1-18

Abstract: The general framework of the bottom-up approach for modeling mobile emissions and energy use involves the following major components: (1) quantifying traffic flow and (2) calculating emission and energy consumption factors. In most cases, researchers deal with complex and arduous tasks, especially when conducting actual surveys in order to calculate traffic flow. In this regard, the authors are introducing a novel method in estimating mobile emissions and energy use from road traffic flow utilizing crowdsourced data from Google Maps. The method was applied on a major highway in the Philippines commonly known as EDSA. Results showed that a total of 370,855 vehicles traveled along EDSA on average per day in June 2019. In comparison to a government survey, only an 8.63% error was found with respect to the total vehicle count. However, the approximation error can be further reduced to 4.63% if cars and utility vehicles are combined into one vehicle category. The study concludes by providing the limitations and opportunities for future work of the proposed methodology.

Keywords: Google Maps; transportation; energy use; emissions; modeling; vehicle flow (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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