Traffic Flow Data Jan to June 2021 SDCC

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Provided by Government Reform Unit, Dept of Public Expenditure & Reform

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Dataset information

Country of origin
Updated
2022.09.21 18:39
Created
2021.11.25
Available languages
Irish
Keywords
Roads, dgitransport, Traffic, congestion, flow, saturation, Transport, volumes, Transportation
Quality scoring
240

Dataset description

SDCC Traffic Congestion Saturation Flow Data for January to June 2021. <div><span style='font-family:Calibri, sans-serif; font-size:medium;'>Traffic, traffic saturation, and congestion data for sites across South Dublin County. Used by traffic management to control stage timings on junctions. It is recommended that this Dataset is read in conjunction with the ‘Traffic Data Site Names SDCC’ Dataset.<div><div><font face=‘Calibri, sans-serif’ size=‘3’>A detailed description of each column heading can be referenced below;</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>scn: Site Serial number</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>region: A group of Nodes that are operated under scoot control at the same common cycle time. Normally these will be nodes between which co-ordination is desirable. Some of the nodes may be double cycling at half of the region cycle time.</font></div><div><font face='Calibri, sans-serif' size='3'>system: scoot STC UTC (UTC-MX)</font></div><div><div><font face='Calibri, sans-serif' size='3'>locn: locations</font></div><div><font face='Calibri, sans-serif' size='3'>site: Site numbers</font><div><div><div><div style='font-family:Calibri, sans-serif; font-size:medium;'>day of the week Monday to Sunday. Abbreviations; Mo,TU,WE,TH,FR,SA,SU.</div><div style='font-family:Calibri, sans-serif; font-size:medium;‘>date actual Date of when data was collected.</div><div style='font-family:Calibri, sans-serif; font-size:medium;'>start_time — Please ignore the date displayed in this column. The actual data collection date is correctly displayed in the ‘date’ column. The date displayed here is the date of when report was run and extracted from the system, but correctly reflect start time of 15 minute intervals. </div><div style='font-family:Calibri, sans-serif; font-size:medium;'>end_time time of 15 minute intervals.</div></div><div><font face=‘Calibri, sans-serif’ size=‘3’>flow: A representation of demand (flow) for each link built over several minutes by the scoot model. Scoot has two profiles:</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>(1) Short — Raw data representing the actual values over the previous few minutes</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>(2) Long — A smoothed average of values over a longer period</font></div><div><font><font face=‘Calibri’, sans-serif’ size=‘3’>scoot will choose to use the appropriate profile depending on a number of factors.</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>flow_pc: Same as above ref ref PC scoot</font><div><fiv><font face=‘Cbribri, sans-serif’ size=‘3’>cong: Congestion is directly measured from the detector. If the detector is placed beyond the normal end of queue in the street it is rarely covered by Stationary traffic, except of course when congestion occurs. If any detector shows standing traffic for the whole of an interval of this is recorded. The number of intervals of congestion in any cycle is also recorded.</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>The percentage congestion is calculated from:</font><div><font face=‘Calibri, sans-serif’ size=‘3’>No of congested intervals x 4 x 100 cycle time in seconds.</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>This percentage of congestion is available to view and more importantly for the optimisers to take into account.</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>cong_pc: Same as above ref PC scoot</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’>DSAT: The ratio of the demand flow to the maximum possible discharge flow, i.e. it is the ratio of the demand to the discharge rate (Saturation Occupancy) multiplied by the duration of the effective green time. The Split optimiser will try to minimise the maximum degree of saturation on links Approaching the node.</font></div><div><font face=‘Calibri, sans-serif’ size=‘3’></font></div><div><font face=‘Calibri, sans-serif’ size=3‘></font><div style=’font-family:Calibri, sans-serif; font-size:medium;'></div></div><div><font size=‘3’></font></div><div><font size=‘3’></font></div><font size=‘3’></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></d
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