Agent Based Modelling of Long Distance Vehicular Transportation (T-0720) (MFN 5819)

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.