Introduction to Applications of Swarm in Transportation Researches

The paper introduces applications of Swarm, an agent-based simulation platform, in transportation researches. A specific example is given, in which a traffic network is built, drivers are classified into three different groups based on learning abilities to route choices, and then a case study is conducted to illustrate the effect of individual's learning ability on spatial distribution of vehicles on the traffic network. Last, potential transportation researches based on Swarm are discussed, such as varieties of agents, topology structures of the traffic network, macroscopic fundamental diagram, etc.