A Review Study of Traffic Microsimulation Car Following Models and Driver Behaviour’s Parameters

Abstract

Examining driver conduct within a road
network becomes viable through the
utilization of a compact traffic simulation
system. The driving behaviours of vehicles,
particularly in comparison to typical humanoperated
cars, are investigated in detail. This
research offers an extensive review of the carfollowing
models employed in popular
microsimulation software, catering to vehicles
with both human and autonomous drivers.
The study delves into the incorporation of
vehicle diversity into car-following models,
also known as homogeneous traffic models,
while thoroughly scrutinizing their limitations
and areas lacking research. Furthermore, we
provide an overview of commercially
accessible microscopic traffic simulation
frameworks designed to replicate real-world
traffic scenarios. High-level capacity
measurement is influenced by numerous userdefined
parameters at lower levels. VISSIM,
for instance, employs psychophysical carfollowing
models reliant on ten user-defined
variables to simulate motorway driving
behaviour. Our research has illustrated that
specific driver behaviour attributes in
VISSIM significantly impact road capacity.
This review identifies the various vehicle
parameters integrated into current Car
Following (CF) models and evaluates their
effectiveness in representing vehicle
behaviour within mixed traffic conditions.
Among the array of simulation tools
available, VISSIM stands out as a popular
choice, leveraging a psychophysical carfollowing
model.