A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Developing Singapore Driving Cycle for passenger cars to estimate fuel consumption and vehicular emissions
https://orcid.org/0000-0001-8003-8639
https://orcid.org/0000-0001-7419-5777
Abstract Singapore has pledged to attain 7–11% Business-As-Usual carbon emissions reduction by 2020. Road transport sector is a significant source of carbon emissions, estimated to be the third largest sector in Singapore. A current gap in environmental evaluation for road transport activities in Singapore is the lack of a representative driving cycle for passenger cars (64% of the total population of 974,170 vehicles). This Singapore Driving Cycle (SDC) is hence developed for Singapore roads and traffic conditions. A chase-car (instrumented vehicle) was used to collect on-road data along 12 designed routes, and circulation driving on highly utilized arterial roads (including those in Central Business District (CBD) and both inner and outer ring roads fringing the CBD area). The SDC was thus hence constructed, with consideration of road type proportions, time periods and desired distance, duration and peak-lull proportion. In essence, the SDC is a 2400-s speed–time profile to represent the driving pattern for passenger car in Singapore. Microscopic estimation model (CMEM) shows that, as compared to SDC, the New European Driving Cycle (NEDC) underestimates most of the vehicular emissions (fuel, CO2, HC and NOx by 5%, 5%, 22% and 47%, respectively) and overestimates CO by 8%. The SDC is thus more suitable than the NEDC that is currently in use in Singapore; the SDC can be used to generate more accurate fuel consumption and emissions ratings for various uses (for example, inventory of vehicular emissions and fuel economy labelling).
Highlights Lack of a realistic driving cycle to evaluate energy and emissions in road transport. Develop a representative driving cycle for passenger cars in Singapore. Methodology incorporate multi-levels of representativeness – distance, road type, peak, lull. Representativeness characteristics are determined from extensive surveys and data collection.
Developing Singapore Driving Cycle for passenger cars to estimate fuel consumption and vehicular emissions
https://orcid.org/0000-0001-8003-8639
https://orcid.org/0000-0001-7419-5777
Abstract Singapore has pledged to attain 7–11% Business-As-Usual carbon emissions reduction by 2020. Road transport sector is a significant source of carbon emissions, estimated to be the third largest sector in Singapore. A current gap in environmental evaluation for road transport activities in Singapore is the lack of a representative driving cycle for passenger cars (64% of the total population of 974,170 vehicles). This Singapore Driving Cycle (SDC) is hence developed for Singapore roads and traffic conditions. A chase-car (instrumented vehicle) was used to collect on-road data along 12 designed routes, and circulation driving on highly utilized arterial roads (including those in Central Business District (CBD) and both inner and outer ring roads fringing the CBD area). The SDC was thus hence constructed, with consideration of road type proportions, time periods and desired distance, duration and peak-lull proportion. In essence, the SDC is a 2400-s speed–time profile to represent the driving pattern for passenger car in Singapore. Microscopic estimation model (CMEM) shows that, as compared to SDC, the New European Driving Cycle (NEDC) underestimates most of the vehicular emissions (fuel, CO2, HC and NOx by 5%, 5%, 22% and 47%, respectively) and overestimates CO by 8%. The SDC is thus more suitable than the NEDC that is currently in use in Singapore; the SDC can be used to generate more accurate fuel consumption and emissions ratings for various uses (for example, inventory of vehicular emissions and fuel economy labelling).
Highlights Lack of a realistic driving cycle to evaluate energy and emissions in road transport. Develop a representative driving cycle for passenger cars in Singapore. Methodology incorporate multi-levels of representativeness – distance, road type, peak, lull. Representativeness characteristics are determined from extensive surveys and data collection.
Developing Singapore Driving Cycle for passenger cars to estimate fuel consumption and vehicular emissions
https://orcid.org/0000-0001-8003-8639
https://orcid.org/0000-0001-7419-5777
Abstract Singapore has pledged to attain 7–11% Business-As-Usual carbon emissions reduction by 2020. Road transport sector is a significant source of carbon emissions, estimated to be the third largest sector in Singapore. A current gap in environmental evaluation for road transport activities in Singapore is the lack of a representative driving cycle for passenger cars (64% of the total population of 974,170 vehicles). This Singapore Driving Cycle (SDC) is hence developed for Singapore roads and traffic conditions. A chase-car (instrumented vehicle) was used to collect on-road data along 12 designed routes, and circulation driving on highly utilized arterial roads (including those in Central Business District (CBD) and both inner and outer ring roads fringing the CBD area). The SDC was thus hence constructed, with consideration of road type proportions, time periods and desired distance, duration and peak-lull proportion. In essence, the SDC is a 2400-s speed–time profile to represent the driving pattern for passenger car in Singapore. Microscopic estimation model (CMEM) shows that, as compared to SDC, the New European Driving Cycle (NEDC) underestimates most of the vehicular emissions (fuel, CO2, HC and NOx by 5%, 5%, 22% and 47%, respectively) and overestimates CO by 8%. The SDC is thus more suitable than the NEDC that is currently in use in Singapore; the SDC can be used to generate more accurate fuel consumption and emissions ratings for various uses (for example, inventory of vehicular emissions and fuel economy labelling).
Highlights Lack of a realistic driving cycle to evaluate energy and emissions in road transport. Develop a representative driving cycle for passenger cars in Singapore. Methodology incorporate multi-levels of representativeness – distance, road type, peak, lull. Representativeness characteristics are determined from extensive surveys and data collection.
Developing Singapore Driving Cycle for passenger cars to estimate fuel consumption and vehicular emissions
Ho, Sze-Hwee (author) / Wong, Yiik-Diew (author) / Chang, Victor Wei-Chung (author)
Atmospheric Environment ; 97 ; 353-362
2014-08-19
10 pages
Article (Journal)
Electronic Resource
English
Real-World Emissions from Conventional Passenger Cars
| Taylor & Francis Verlag | 1998