Vehicle emission computation through microscopic traffic simulation calibrated using genetic algorithm

• Autorzy: Wei Yun , Yu Ying , Xu Lifeng , Huang Wei , Guo Jianhua , Wan Ying , Cao Jinde

Identyfikatory

DOI

10.2478/jaiscr-2018-0025

• Języki publikacji: EN

Abstrakty

EN

Vehicle emission calculation is critical for evaluating motor vehicle related environmental protection policies. Currently, many studies calculate vehicle emissions from integrating the microscopic traffic simulation model and the vehicle emission model. However, conventionally vehicle emission models are presented as a stand-alone software, requiring a laborious processing of the simulated second-by-second vehicle activity data. This is inefficient, in particular, when multiple runs of vehicle emission calculations are needed. Therefore, an integrated vehicle emission computation system is proposed around a microscopic traffic simulation model. In doing so, the relational database technique is used to store the simulated traffic activity data, and these data are used in emission computation through a built-in emission computation module developed based on the IVE model. In order to ensure the validity of the simulated vehicle activity data, the simulation model is calibrated using the genetic algorithm. The proposed system was implemented for a central urban region of Nanjing city. Hourly vehicle emissions of three types of vehicles were computed using the proposed system for the afternoon peak period, and the results were compared with those computed directly from the IVE software with a trivial difference in the results from the proposed system and the IVE software, indicating the validity of the proposed system. In addition, it was found for the study region that passenger cars are critical for controlling CO, buses are critical for controlling CO and VOC, and trucks are critical for controlling NOx and CO2. Future work is to test the proposed system in more traffic management and control strategies, and more vehicle emission models are to be incorporated in the system.

Słowa kluczowe

EN

environment protection; microscopic traffic simulation; genetic algorithm; IVE model; emission evaluation

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2019
• Tom: Vol. 9, No. 1
• Strony: 67--80
• Opis fizyczny: Bibliogr. 32 poz., rys.

Twórcy

autor

Wei Yun

• Beijing Urban Construction Design and Development Group Co., Ltd, Beijing, China

autor

Yu Ying

• Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, China

autor

Xu Lifeng

• Nanjing Vehicle Emission Regulatory Center, Nanjing, China

autor

Huang Wei

• Intelligent Transportation System Research Center, Southeast University, Nanjing, China

autor

Guo Jianhua

• Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, China

autor

Wan Ying

• School of Mathematics, Southeast University, Nanjing, China

autor

Cao Jinde

• School of Mathematics, Southeast University, Nanjing, China

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).