CALIBRATION OF VISSIM MODEL FOR MULTILANE HIGHWAYS USING SPEED FLOW CURVES
DOI:
https://doi.org/10.14311/CEJ.2017.03.0026Keywords:
Driver-behavior model, Speed-flow calibration, Capacity, VISSIMAbstract
Traffic flow is a complex phenomenon that needs better understanding of basic concepts
and methods for its analysis. As a solution to practical problems, computer simulation has been
proved to be a powerful tool in replicating complex traffic systems which allows experimentation to
the basic traffic flow system. Various methods are available in literature, some of the methods use
statistical tools to verify the difference between simulated and actual outputs and some are based
on optimization which tries to minimize the error. For the present work, suitable methodology is
adopted for the calibration process. Field data is collected, statistical tests are performed. For the
simulation, VISSIM microscopic simulation tool is used and data analysis is performed by
considering individual parameters and performance measures like speed, volume and random
seed number. Statistical tests have been performed to check the sensitivity of the different
simulation parameters. Calibration is done using trial and error method and optimization is
performed using solver function. The maximum simulated flow rate was found with default values
as 4599 veh/hr, and with calibrated values is 5147 veh/hr which is close to the target capacity 4958
veh/hr as obtained using field composition. Calibrated values of CC0 and CC1 and CC2
parameters were found as most optimized values to achieve target capacity. Finally, validation of
calibrated parameter was performed by using different section of a multilane highway.
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