The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform
Saman Bandara - One of the best experts on this subject based on the ideXlab platform.
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Developing a General Methodology for Driving Cycle Construction: Comparison of Various Established Driving Cycles in the World to Propose a General Approach
Journal of Transportation Technologies, 2015Co-Authors: Uditha Galgamuwa, Loshaka Perera, Saman BandaraAbstract:Many models have been developed in the world to Estimate Emission inventories and fuel consumption in the past and those models can be broadly categorized as either a travel based model or a fuel based model. Driving cycles can be considered as one of the major travel based models to Estimate Emission inventories. It can be used for various purposes such as setting up the Emission standards, for traffic management purposes and also to determine the travel time. In the past, researchers have tried to use readily available, well established driving cycles in their environment which is different from the origin of the driving cycle in many aspects. Thus, the attempts have failed to give good quality results. This study attempts to critically evaluate the different methods used for driving cycle construction in different parts of the world under various conditions to propose a general suitable approach to develop a representative and economical driving cycle(s) for a given geographic location for set objectives.
Parida Purnima - One of the best experts on this subject based on the ideXlab platform.
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Candidate Driving Cycle Construction for Emission Estimation
Transportation Research, 2019Co-Authors: Boski P. Chauhan, Gaurang Joshi, Parida PurnimaAbstract:Transportation Emissions are the main contributor to air pollution and create many environmental problems. To control vehicle Emission and to achieve air quality, driving cycle is one of the concepts applied for Emission estimation. Driving cycle is fundamentally profile of speed of vehicle versus time or distance. The constitution of a driving cycle is directly related to the accuracy of any air quality analysis, so an accurate analysis of the driving cycle is important for Emission estimation. In the present study, driving cycle data has been analyzed to generate candidate driving cycle, which is the single representative cycle used for Emission estimation and represents the actual driving activity of the study area. This study highlights the micro-trip-based method for construction of the candidate cycle. Micro-trips are grouped and arranged to get the candidate driving cycle. The best candidate cycle is selected on the basis of cycle assessment parameters. Driving cycle data collection has been carried out in urban corridor of Vadodara city, Gujarat. The study corridor composed of four signalized intersections and one rotary intersection. The numbers of candidate cycles have been generated from the collected base data of driving cycle by the micro-trip method. The selection of the best candidate cycle is done by comparing the driving parameters of base data cycles and generated candidate cycles. The candidate cycle has the least value of root-mean-square error is selected as a final representative cycle and used for the Emission estimation. A single parameter average speed is taken to Estimate Emission at a macroscopic level based on Emission factors.
Uditha Galgamuwa - One of the best experts on this subject based on the ideXlab platform.
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Developing a General Methodology for Driving Cycle Construction: Comparison of Various Established Driving Cycles in the World to Propose a General Approach
Journal of Transportation Technologies, 2015Co-Authors: Uditha Galgamuwa, Loshaka Perera, Saman BandaraAbstract:Many models have been developed in the world to Estimate Emission inventories and fuel consumption in the past and those models can be broadly categorized as either a travel based model or a fuel based model. Driving cycles can be considered as one of the major travel based models to Estimate Emission inventories. It can be used for various purposes such as setting up the Emission standards, for traffic management purposes and also to determine the travel time. In the past, researchers have tried to use readily available, well established driving cycles in their environment which is different from the origin of the driving cycle in many aspects. Thus, the attempts have failed to give good quality results. This study attempts to critically evaluate the different methods used for driving cycle construction in different parts of the world under various conditions to propose a general suitable approach to develop a representative and economical driving cycle(s) for a given geographic location for set objectives.
Boski P. Chauhan - One of the best experts on this subject based on the ideXlab platform.
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Candidate Driving Cycle Construction for Emission Estimation
Transportation Research, 2019Co-Authors: Boski P. Chauhan, Gaurang Joshi, Parida PurnimaAbstract:Transportation Emissions are the main contributor to air pollution and create many environmental problems. To control vehicle Emission and to achieve air quality, driving cycle is one of the concepts applied for Emission estimation. Driving cycle is fundamentally profile of speed of vehicle versus time or distance. The constitution of a driving cycle is directly related to the accuracy of any air quality analysis, so an accurate analysis of the driving cycle is important for Emission estimation. In the present study, driving cycle data has been analyzed to generate candidate driving cycle, which is the single representative cycle used for Emission estimation and represents the actual driving activity of the study area. This study highlights the micro-trip-based method for construction of the candidate cycle. Micro-trips are grouped and arranged to get the candidate driving cycle. The best candidate cycle is selected on the basis of cycle assessment parameters. Driving cycle data collection has been carried out in urban corridor of Vadodara city, Gujarat. The study corridor composed of four signalized intersections and one rotary intersection. The numbers of candidate cycles have been generated from the collected base data of driving cycle by the micro-trip method. The selection of the best candidate cycle is done by comparing the driving parameters of base data cycles and generated candidate cycles. The candidate cycle has the least value of root-mean-square error is selected as a final representative cycle and used for the Emission estimation. A single parameter average speed is taken to Estimate Emission at a macroscopic level based on Emission factors.
Loshaka Perera - One of the best experts on this subject based on the ideXlab platform.
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Developing a General Methodology for Driving Cycle Construction: Comparison of Various Established Driving Cycles in the World to Propose a General Approach
Journal of Transportation Technologies, 2015Co-Authors: Uditha Galgamuwa, Loshaka Perera, Saman BandaraAbstract:Many models have been developed in the world to Estimate Emission inventories and fuel consumption in the past and those models can be broadly categorized as either a travel based model or a fuel based model. Driving cycles can be considered as one of the major travel based models to Estimate Emission inventories. It can be used for various purposes such as setting up the Emission standards, for traffic management purposes and also to determine the travel time. In the past, researchers have tried to use readily available, well established driving cycles in their environment which is different from the origin of the driving cycle in many aspects. Thus, the attempts have failed to give good quality results. This study attempts to critically evaluate the different methods used for driving cycle construction in different parts of the world under various conditions to propose a general suitable approach to develop a representative and economical driving cycle(s) for a given geographic location for set objectives.