Analysis of Traffic Behavior in Regular Grid and Real World Networks

Traffic jams are reality in many cities and the current ways to deal with the problem always incur costs for citizens. This paper aims to understand the traffic behavior in a regular grid and in a real world network, with uniform and non-uniform demands and different demand loads. To analyze traffic flow, two metrics are used: waiting vehicles and the correlation ratio between the edge occupation and betweenness centrality. Still, a modification in the betweenness centrality is proposed to understand traffic flow. The results show that the network topology represents an important variable in urban traffic, the demand type is determinant in traffic behavior and the modified betweenness centrality shows high correlation ratio with the edge occupation.