Abstract:
This research study attempts to model long-distance transportation monitoring and
guidance system to overcome problems causing delays during travel. Few of these
problems are traffic congestions, breakages, emergencies and badweather
conditions.Lack of knowledge about upcoming conditions is a problem itself. To
overcome these issues,a guidance system can help a transport entity for optimal
decisions. Agent-based Modelling (ABM) is used to study and formulate interactions
of involved entities. This model studies system dynamics on both macro and micro
levels. Overview, Design concepts and Details (ODD) protocol for thedescription of
theagent-based model is used.Simulations of the modelare performed using
NetLogo(Version 5.3.1)P 1 P platform on a hypothetical space. The obtained results are
compared across avariety of parameters affecting the overall system such as time,
reliability, congestions and rests.This work aims to improve decision making insetting
optimal speed based on the travel time and congestion avoidance analysis. Overall,
this work emphasizes on the measures to reduce relative travel time and cost.It is
concluded that proposed model can help to improve theefficiency of thetransportation
systems. This research can be extended to formulate algorithms for agent interactions
and other factor involved in transportation systems such as scheduling.
