Comparative study of real-world driving cycles, energy consumption, and CO2 emissions of electric and gasoline motorcycles driving in a congested urban corridor

2019 ◽  
Vol 45 ◽  
pp. 619-627 ◽  
Author(s):  
Triluck Koossalapeerom ◽  
Thaned Satiennam ◽  
Wichuda Satiennam ◽  
Watis Leelapatra ◽  
Atthapol Seedam ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Comparative Study ◽  
Co2 Emissions ◽  
Real World ◽  
Driving Cycles ◽  
Urban Corridor

Real-world driving cycles and energy consumption informed by large-sized vehicle trajectory data

2019 ◽  
Vol 223 ◽  
pp. 564-574 ◽  
Author(s):  
Ruoyun Ma ◽  
Xiaoyi He ◽  
Yali Zheng ◽  
Boya Zhou ◽  
Sheng Lu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Real World ◽  
Trajectory Data ◽  
Driving Cycles ◽  
Vehicle Trajectory

Comparative study of energy consumption and CO2 emissions between Beijing and London

2013 ◽  
Vol 7 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Zhihua Cai ◽  
Xunmin Ou ◽  
Xu Zhang ◽  
Xiliang Zhang ◽  
Jiankun He ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Comparative Study ◽  
Co2 Emissions

A Two-Step Based Approach to Evaluate Driving Cycles for Carbon Dioxide Emission Estimation

2012 ◽  
Vol 518-523 ◽  
pp. 2293-2297
Author(s):  
Xiao Zhang
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Real World ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Evaluation Process ◽  
Operating Mode ◽  
Driving Cycles ◽  
Emission Estimation ◽  
Carbon Dioxide Co2

The paper proposes a two-step evaluation process to assess the developed driving cycles for carbon dioxide emissions. The first step is to compare the driving operating mode distributions from developed driving cycles with real world ones. The second step is to predict the carbon dioxide (CO2) emissions by using the developed driving cycles under the latest version of MOVES, MOVES2010 framework, which are then compared with and evaluated by the real-world CO2 emissions. Evaluation results show that the driving cycles developed by the driving operating mode distribution measure result in more accurate CO2 emission estimations.

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