Abstract
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.
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Chauhan, B.P., Joshi, G.J., Purnima, P. (2020). Candidate Driving Cycle Construction for Emission Estimation. In: Mathew, T., Joshi, G., Velaga, N., Arkatkar, S. (eds) Transportation Research . Lecture Notes in Civil Engineering, vol 45. Springer, Singapore. https://doi.org/10.1007/978-981-32-9042-6_8
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DOI: https://doi.org/10.1007/978-981-32-9042-6_8
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