This preliminary paper discusses the creation of an
agent based model for a signalized traffic intersection derived from a
previously developed mathematical vehicle-following micro-simulation model. The
results of the agent based model are compared to the results from the
mathematical model for verification purposes. The agent based model is then
used to show the effects of inclement weather on vehicle throughput at a
traffic intersection and to show how increasing the signal intervals in these
conditions can help to partially restore traffic throughput to normal condition
levels. This effort is just part of the many simulation and modeling efforts
that will be required as autonomous vehicles as well as person controlled
vehicles begin to share the roadway. The role of IoT will become extremely
important and even more so, as driving conditions are exacerbated by unforeseen
and environmentally hazardous roadway conditions making intercommunication
between vehicles and infrastructure even more critical.
Cite this paper
Duff, M. and McLeod, R. D. (2018). An Agent Based Model to Analyze the Effects of Traffic Signal Timing on Vehicle Throughput in Inclement Weather. Open Access Library Journal, 5, e4523. doi: http://dx.doi.org/10.4236/oalib.1104523.