Gravity-Driven Agent-Based Model for Simulation of Economic Growth a Point Along a Highway

Abstract

Abstract Aim of this research is to get number of rest area visitors. As the simulation method, gravity model (GM) used to generate potential that can attract agent to Pendle between the two cities and to visit a rest area and agent-based model (ABM) used to govern the motion of agents from one city to the other and for entering and leaving the rest area. As the results, it observed that meaningful pattern could interpreted monthly. By differencing two types of agent, the red and the blue ones, where the first need to use rest area and the second not, composition of agent has also a role in determining number of rest area visitor. In addition, as implication there is also favourable rest area due to distance from the city where the agents are coming from. Finally, it concluded that composition of agents and position of rest area influence number of rest area visitors.