Evaluating data collection measurements

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

-

-

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:    03.01.2024 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
…