by default, the data for all vehicle classes is entered together. You can also show the data for certain vehicle classes separately in the evaluation (Configuring evaluations of the result attributes for lists).
You can save the following data and data formats:
Output |
ASCII file |
MDB table |
Attribute file from attribute list |
---|---|---|---|
Aggregated data |
- |
- |
![]() |
Raw data |
*.mer |
- |
- |
The results list Data Collection Results contains the following attributes:
Result attribute Long name |
Short name |
Description |
---|---|---|
Simulation run | SimRun |
Number of simulation run |
Time interval | TimeInt | Duration of the evaluation intervals in which the data is aggregated |
Data Collection Measurement | DataCollMeas | Number of data collection measurement and name of its data collection point |
The following result attributes refer to all vehicles in the network that have been recorded during data collection measurement: |
||
Acceleration | Acceleration | Average acceleration of the vehicles |
Distance | Dist | Distance covered [m] by the vehicles |
Length | Length | Average length [m] of the vehicles |
Vehicles | Vehs | Total number of vehicles |
Persons | Pers | Total number of occupants of the vehicles |
Queue delay | QueueDelay | Total time in [s] that the vehicles have spent so far stuck in a queue, if the queue conditions are met. |
Speed | Speed | Average speed of the vehicle at the data collection point |
Speed (arithmetic mean) | SpeedAvgArith | Arithmetic mean of speed of the vehicles |
Speed (harmonic mean) | SpeedAvgHarm | Harmonic mean of speed of the vehicles |
Occupancy rate | OccupRate | Share of time [0% bis 100%] in the last simulation step, during which at least one data collection point of this data collection measurement was busy. |
The *.mer file contains the following data:
Value |
Description |
---|---|
t(enter) |
Time at which the front end of the vehicle has passed the data collection point. Time - 1.00: The front end has already passed the section in a previous time step. |
t(leave) |
Time at which the rear end of the vehicle has passed the data collection point. Time -1.00: The rear end of the vehicle has not yet reached the data collection point. |
VehNo |
Internal number of the vehicle |
Type |
Vehicle type, for example, 100 = car |
Line |
PT line, only for PT vehicle types, otherwise = 0 |
v[km/h] |
Speed |
b[m/s²] |
Acceleration |
Occ |
Occupancy: Time in s that the vehicle has spent above data collection point in this simulation second |
Pers |
Number of persons in the vehicle |
tQueue |
Queue time: Total time in [s] which the vehicles have spent so far stuck in a queue, if the queue conditions are met. |
VehLength[m] |
Vehicle length in [m] |
Example: file *.mer
Measurement protocol (raw data)
File: C:\Users\Public\Documents\PTV Vision\PTV Vissim 11\Examples Demo\lux3_10.inpx
Comment: Luxembourg, SC 3-10
Date: Monday, 19 January 2019 12:23:33
PTV Vissim 11.00-00* [77950]
Data collection point 3131: Link 46 Lane 1 at 179.168. Data Collection Point 3151: Link 10065 Lane 1 at 2.568 m. Data Collection Point 3211: Link 42 Lane 1 at 197.590 m. Data Collection Point 3231: Link 49 Lane 1 at 197.617 m. Data Collection Point 3311: Link 10063 Lane 1 at 6.208 m. Data Collection Point 3321: Link 10062 Lane 1 at 5.514 m. Data Collection Point 3351: Link 10064 Lane 1 at 3.096 m. … Measurement; t(enter); t(leave); VehNo; Type; Line; v[km/h]; a[m/s2]; Occ; Pers; tQueue; VehLength[m]; 6311 16.95 -1.00 10 17 0 7.9 -2.83 0.05 1 0.0 4.55 6311 -1.00 17.60 10 17 0 6.0 -2.83 0.00 1 0.0 4.55 6312 19.90 -1.00 15 11 0 5.3 -2.68 0.10 1 0.0 4.11 6321 20.03 -1.00 14 14 0 13.5 -0.99 0.07 1 0.0 4.11 6321 -1.00 20.34 14 14 0 13.2 -0.99 0.04 1 0.0 4.11 6312 -1.00 20.94 15 11 0 2.6 -2.68 0.04 1 0.0 4.11 …
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