Calibration and Validation of Microscopic Traffic Flow Models. Brockfeld, E., Kühne, R., & Wagner, P. In TRB Annual Meeting, volume 1876, pages 62–70, 2004. ![Calibration and Validation of Microscopic Traffic Flow Models [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 1 download Microscopic simulation models are becoming increasingly important tools in modeling transport systems. There are a large number of available models used in many countries. the most difficult stage in the development and use of such models is the calibration and validation of the microscopic sub-models describing the traffic flow, such as the car following, lane changing and gap acceptance models. This difficulty is due to the lack of suitable methods for adapting models to empirical data. The aim of this paper is to present recent progress in calibratin a number of microscopic traffic flow models. By calibrating and validating various models using the same data sets, the models are directly comparable to each other. This sets the basis for a transparent benchmarking of those models. Furthermore, the advantages and disadvantages of each model can be analyzed better to develop a more realistic behavior of the simulated vehicles In this work various microscopic traffic flow models have been tested from a very microscopic point of view concerning the car-follwing behavior and gap-acceptance. The data used for calibration and validation is from car-following experiments performed in Japan in October 2001. The data have been collected by letting nine DGPS-equipped cars follow a lead car driving along a 3 km test track for about 15-30 minutes. So one gets the positions and speeds of each car in time intervals of 0.1 seconds. The experiment was repeated eight times letting the leading driver perform various driving in waves and emulating many acceleations/decelerations as they are typical at intersections. To minimize driver-dependent correlations between the data sets, the drivers were exchanged between the cars regularly after each experiment
@inproceedings{Brockfeld2004c,
author = {Elmar Brockfeld and Reinhart K\"uhne and Peter Wagner},
booktitle = {TRB Annual Meeting},
title = {Calibration and Validation of Microscopic Traffic Flow Models},
year = {2004},
editor = {Transportation Research Board},
number = {TRB2004-001743},
pages = {62--70},
volume = {1876},
abstract = {Microscopic simulation models are becoming increasingly important
tools in modeling transport systems. There are a large number of
available models used in many countries. the most difficult stage
in the development and use of such models is the calibration and
validation of the microscopic sub-models describing the traffic flow,
such as the car following, lane changing and gap acceptance models.
This difficulty is due to the lack of suitable methods for adapting
models to empirical data. The aim of this paper is to present recent
progress in calibratin a number of microscopic traffic flow models.
By calibrating and validating various models using the same data
sets, the models are directly comparable to each other. This sets
the basis for a transparent benchmarking of those models. Furthermore,
the advantages and disadvantages of each model can be analyzed better
to develop a more realistic behavior of the simulated vehicles In
this work various microscopic traffic flow models have been tested
from a very microscopic point of view concerning the car-follwing
behavior and gap-acceptance. The data used for calibration and validation
is from car-following experiments performed in Japan in October 2001.
The data have been collected by letting nine DGPS-equipped cars follow
a lead car driving along a 3 km test track for about 15-30 minutes.
So one gets the positions and speeds of each car in time intervals
of 0.1 seconds. The experiment was repeated eight times letting the
leading driver perform various driving in waves and emulating many
acceleations/decelerations as they are typical at intersections.
To minimize driver-dependent correlations between the data sets,
the drivers were exchanged between the cars regularly after each
experiment},
groups = {calibration&validation, TS, assigned2groups},
journal = {TRB 2004 Annual Meeting},
keywords = {calibration, validation, traffic flow models, microscopic, GPS, DGPS, DLR/TS/VM, model calibration},
owner = {dkrajzew},
timestamp = {2011.09.30},
url = {http://elib.dlr.de/6652/}
}
Downloads: 1
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There are a large number of available models used in many countries. the most difficult stage in the development and use of such models is the calibration and validation of the microscopic sub-models describing the traffic flow, such as the car following, lane changing and gap acceptance models. This difficulty is due to the lack of suitable methods for adapting models to empirical data. The aim of this paper is to present recent progress in calibratin a number of microscopic traffic flow models. By calibrating and validating various models using the same data sets, the models are directly comparable to each other. This sets the basis for a transparent benchmarking of those models. Furthermore, the advantages and disadvantages of each model can be analyzed better to develop a more realistic behavior of the simulated vehicles In this work various microscopic traffic flow models have been tested from a very microscopic point of view concerning the car-follwing behavior and gap-acceptance. The data used for calibration and validation is from car-following experiments performed in Japan in October 2001. The data have been collected by letting nine DGPS-equipped cars follow a lead car driving along a 3 km test track for about 15-30 minutes. So one gets the positions and speeds of each car in time intervals of 0.1 seconds. The experiment was repeated eight times letting the leading driver perform various driving in waves and emulating many acceleations/decelerations as they are typical at intersections. 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There are a large number of\n\tavailable models used in many countries. the most difficult stage\n\tin the development and use of such models is the calibration and\n\tvalidation of the microscopic sub-models describing the traffic flow,\n\tsuch as the car following, lane changing and gap acceptance models.\n\tThis difficulty is due to the lack of suitable methods for adapting\n\tmodels to empirical data. The aim of this paper is to present recent\n\tprogress in calibratin a number of microscopic traffic flow models.\n\tBy calibrating and validating various models using the same data\n\tsets, the models are directly comparable to each other. This sets\n\tthe basis for a transparent benchmarking of those models. Furthermore,\n\tthe advantages and disadvantages of each model can be analyzed better\n\tto develop a more realistic behavior of the simulated vehicles In\n\tthis work various microscopic traffic flow models have been tested\n\tfrom a very microscopic point of view concerning the car-follwing\n\tbehavior and gap-acceptance. The data used for calibration and validation\n\tis from car-following experiments performed in Japan in October 2001.\n\tThe data have been collected by letting nine DGPS-equipped cars follow\n\ta lead car driving along a 3 km test track for about 15-30 minutes.\n\tSo one gets the positions and speeds of each car in time intervals\n\tof 0.1 seconds. The experiment was repeated eight times letting the\n\tleading driver perform various driving in waves and emulating many\n\tacceleations/decelerations as they are typical at intersections.\n\tTo minimize driver-dependent correlations between the data sets,\n\tthe drivers were exchanged between the cars regularly after each\n\texperiment},\n\tgroups = {calibration&validation, TS, assigned2groups},\n\tjournal = {TRB 2004 Annual Meeting},\n\tkeywords = {calibration, validation, traffic flow models, microscopic, GPS, DGPS, DLR/TS/VM, model calibration},\n\towner = {dkrajzew},\n\ttimestamp = {2011.09.30},\n\turl = {http://elib.dlr.de/6652/}\n}\n\n\n","author_short":["Brockfeld, E.","Kühne, R.","Wagner, P."],"editor_short":["Board, T. 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