Evaluating data collection measurements
- At least one data collection point on a link must be defined in the network (Defining data collection points).
- At least one data collection measurement must be defined, and at least one data collection point must be assigned to it (Defining a data collection measurement in lists), (Generating data collection measurements in lists).
- At least one vehicle input and one vehicle route must be defined on the link (Defining vehicle inputs), (Modeling vehicle routing decision, vehicle routes and partial vehicle routes).
Reversing vehicles are not taken into account.
Vehicle classes are grouped together
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).
Saving results of data collection measurements
Output data and formats
You can save the following data and data formats:
Output |
ASCII file |
MDB table |
Attribute file from attribute list |
---|---|---|---|
Aggregated data |
- |
- |
|
Raw data |
*.mer |
- |
- |
- Show result attributes in attribute lists (Displaying result attributes in attribute lists)(Displaying result attributes in attribute lists)
- Show result attributes in a result list (Showing result attributes in result lists)
- Save raw data to a file (Using the Direct output function to save evaluation results to files)
- Show result attributes of measurements in list (Showing results of measurements)
Result of evaluation of Data collection measurements
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 |
Time fraction [0..100%] of the time interval, where at least one data collection point of this data collection measurement was occupied by vehicles of the vehicles classes, which were selected in the evaluation configuration. Examples:
|
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 2024\Examples Demo\lux3_10.inpx
Comment: Luxembourg, SC 3-10
Date: 03.01.2024 12:23:33
PTV Vissim 2024.00-00* [253691]
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 …