Computation and Optimization of Traffic Network Topologies Using Eclipse SUMO

Abstract

The advent of modern computational tools in field of transportation can help to forecast the optimized vehicular routes and traffic network topology, using traffic conditions from real world data as inputs. In this study, the topologies of one-way and two-way street networks are analysed using microscopic traffic simulations implemented on the SUMO (Simulation of Urban MObility) platform were performed to analyse the effect of street conversion in Downtown Brickfields, Kuala Lumpur. It was found that one-way streets perform better at the onset of traffic congestion due to their higher capacity, but on average, the four-fold longer travel times make it harder to clear traffic by getting vehicles to their destinations than two-way streets. As time progresses, one-way streets' congestion may become doubly worse than that of two-way streets. This study may contribute to a more holistic assessment of traffic circulation plans designed for smart and liveable cities.