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: 100 %: During the time interval, at least one of the data collection points of this data collection was occupied by vehicles of the selected vehicle classes in each time step. 50 %: During the time interval, half of the time at least one of the data collection points of this data collection was occupied by vehicles of the selected vehicle classes.

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:    03.01.2023 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
…

Superordinate topic:

Configuring evaluations of the result attributes for lists

Configuring evaluations for direct output

Information on editing:

Using the Direct output function to save evaluation results to files

Configuring the database connection for evaluations

Saving evaluations in databases