This repo includes codes and sample data for Qiu and Borken-kleefeld, ERL, 2022. Material for reproducing figures in the paper R script: plot.r Data for plot 2: RS_Zurich_data.csv: the sample RS data from Zurich. algorithm_eu5d_final_iteration.rds: the estimated average emission factor for each city fleet (outputs from the iterative algorithm) Data for plot 3: Zurich_clean_identification.xlsx: summary of the fraction of clean vehicles being identified by each potential RS threshold. Zurich_high_emitter_identification.xlsx: summary of the fraction of high-emitters being identified by each potential RS threshold. Data for plot 4: validation_test_dataset.csv: the original validation dataset that includes the underlying average emission factor and the simulated instantaneous emissions. validation_algorithm_results.rds: algorithm outputs when applied to the validation dataset. The iterative algorithm and sample data that can be used for demonstration Algorithm script: iterative_algorithm.r Sample RS data: RS_Zurich_data.csv Sample PEMS/Chassis test cycles: sample_pems_chassis_cycles.csv