Macroscopic Traffic Flow Characterization for Stimuli Based on Driver Reaction

The design and management of infrastructure is a significant challenge for traffic engineers planners. Accurate characterization necessary effective utilization. Thus, models are required that can characterize variety conditions be employed homogeneous, heterogeneous, equilibrium non-equilibrium traffic. Lighthill-Whitham-Richards (LWR) model widely used because its simplicity. This characterizes behavior with small changes over long idealized road so inadequate typical conditions. extended LWR considers driver types based on velocity to in non lane discipline but it ignores the stimuli velocity. In this paper, an improved presented which reaction forward stimuli. occurs distance headway during aligns current performance proposed, evaluated using first order upwind scheme (FOUS). numerical stability guaranteed by employing Courant, Friedrich Lewy (CFL) condition. Results show proposed both large more realistically. Doi: 10.28991/cej-2021-03091632 Full Text: PDF