This Readme file was generated on 2024-08-08 by Anna Schroeder GENERAL INFORMATION Title of Dataset: Outputs from NLR NOx vehicle emissions model for A-48s and B-96s traffic signal cycle (NLR_output_A-48s.csv and NLR_output_B-96s.csv) Principal Investigator Information Name: Prof Adam Boies Institution where work was completed: Cambridge University, UK Address: Department of Engineering Division A, University of Cambridge, Cambridge, UK Current Institution: Department of Mechanical Engineering, University of Stanford, USA Email: aboies@stanford.edu Author/Associate or Co-investigator Information Name: Dr Anna Schroeder Institution: Cambridge University, UK Address: MRC Epidemiology Unit, University of Cambridge, Cambridge, UK Email: aks85@cam.ac.uk Date of data collection: n/a (traffic counts used for PTV Vissim traffic model were collected in June 2019) Geographic location of data collection: London Road / Garden Row junction, London, UK Information about funding sources that supported the collection of the data: Engineering and Physical Sciences Research Council, UK (EP/N010221/1), C. Le Cornec was supported by Innovate UK (project ref: 103304) and by a Skempton scholarship at the Department of Civil & Environment Engineering at Imperial College London, UK SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: Creative Commons Attribution (CC BY) licence Links to publications that cite or use the data: Anna K. Schroeder, Huw Woodward, Clémence M.A. Le Cornec, Thomas Proust, Peter J. Benie, Shiwei Fan, Elsa Aristodemou, Roderic L. Jones, P.F. Linden, Audrey de Nazelle, Adam M. Boies, Marc E.J. Stettler, Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings, Atmospheric Environment: X, 2024, 100293, ISSN 2590-1621, https://doi.org/10.1016/j.aeaoa.2024.100293. Links to other publicly accessible locations of the data: n/a Links/relationships to ancillary data sets: n/a Was data derived from another source? If yes, list source(s): output from PTV Vissim traffic microsimulation model in conjuction with the NLR NOx vehicle emissions model Recommended citation for this dataset: Schroeder, A.K., Woodward, H., Le Cornec, C.M., Proust, T., Benie, P.J., Fan, S., Aristodemou, E., Jones, R.L., Linden, P., de Nazelle, A., Boies, A. M.; Stettler, M.E., 2024. Research data supporting Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings. doi:https://doi.org/10.17863/CAM.99720. DATA & FILE OVERVIEW File List: NLR_outputs_A-48s.csv and NLR_outputs_B-96s.csv Relationship between files, if important: n/a Additional related data collected that was not included in the current data package: Output from PTV Vissim microsimulation traffic model which can not be shared due to commercial reasons Are there multiple versions of the dataset? If yes, name of file(s) that was updated: n/a Why was the file updated? When was the file updated? METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: The PTV Vissim traffic microsimulation model of the London Road with Garden Row junction in London, UK, provided by Transport for London (TfL), was used to model traffic behaviour for two different traffic signal cycles, the A-48s and the B-96s cycle. These model outputs were then used as inputs in the NLR NOx vehicle emissions model. The NLR NOx vehicle emissions model is described in the following paper: Le Cornec CMA, Molden N, van Reeuwijk M, Stettler MEJ. Modelling of instantaneous emissions from diesel vehicles with a special focus on NOx: Insights from machine learning techniques. Sci Total Environ. 2020 Oct 1;737:139625. doi: 10.1016/j.scitotenv.2020.139625. Epub 2020 May 26. PMID: 32783820. Further information about this study can be found in: Schroeder, A.K., Woodward, H., Le Cornec, C.M., Proust, T., Benie, P.J., Fan, S., Aristodemou, E., Jones, R.L., Linden, P., de Nazelle, A., Boies, A. M.; Stettler, M.E., 2024. Research data supporting Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings. doi:https://doi.org/10.17863/CAM.99720. Methods for processing the data: Outputs from the NLR model with vehicle information from the PTV Vissim model is included. The NLR model was run 1000 times each time assigning a different vehicle make to the given category of the vehicle in question and hence giving a slightly different result each time. Any location specific information from the PTV Vissim model was removed as requested by TfL. Instrument- or software-specific information needed to interpret the data: n/a Standards and calibration information, if appropriate: n/a Environmental/experimental conditions: n/a Describe any quality-assurance procedures performed on the data: Results were plotted to check whether the results looked sensible People involved with sample collection, processing, analysis and/or submission: Anna Schroeder, Clémence Le Cornec DATA-SPECIFIC INFORMATION FOR: NLR_outputs_A-48s.csv and NLR_outputs_B-96s.csv Number of variables: 1005 Number of cases/rows: 76256 - including header (NLR_outputs_A-48s.csv) 84222 - including header (NLR_outputs_B-96s.csv) Variable List: VissimSecond: Second information, i.e. timestamp information, from the PTV Vissim model output. Starts at 901 seconds as the first 900 seconds (15min) of the model run were considered as the warm-up period where traffic was introduced to the network. VehicleNo: Unique number assigned to each vehicle in the PTV Vissim model. The number does not start at 1 as the first 900 seconds of the model run were removed VehicleSpeed: Vehicle speed at the end of each time step in m/s VehicleAcceleration: Vehicle acceleration during the time step in m^2/s VehicleType: Vehicle type (DoubleDeckerBus, Cyclist, LGV (large goods vehicle), Car, HGV (heavy goods vehicle), Taxi, Pedestrian) NOx-Runxx (for x in 1 to 1000): Outputs from the 1000 NLR model runs. Gives NOx vehicle emissions in g/s at each time step. Missing data codes: n/a Specialized formats or other abbreviations used: n/a