Revisiting mesoscopic traffic flow simulation in SUMO: Limitations, analysis, and an alternative
Researchers have identified limitations in the mesoscopic traffic flow model used by the Simulation of Urban MObility (SUMO) software. The existing model, based on Eissfeldt's 2004 work, does not fully adhere to the Lighthill-Whitham-Richards (LWR) model principles, leading to inaccurate congestion dynamics and underestimation of congestion magnitude. To address these issues, a new discrete-time implementation of the link transmission model is proposed, which more accurately captures queue spillback phenomena and aligns with kinematic wave theory and microscopic SUMO simulations. AI
IMPACT This research offers a more accurate simulation of traffic congestion, potentially improving urban planning and traffic management systems.