Dynamic Pedestrian Traffic Assignment with Link Transmission Model for Bidirectional Sidewalk Networks
Tanapon Lilasathapornkit, Meead Saberi
TL;DR
This paper addresses the challenge of planning urban walking networks under bidirectional pedestrian flows by developing a simulation-based dynamic pedestrian traffic assignment (DPTA) framework that combines dynamic user equilibrium route choice with a link transmission model loading procedure. It introduces a pedestrian-specific travel-time function (pVDF) and a three-dimensional triangular bidirectional fundamental diagram, paired with a first-order node model to reproduce self-organization and shockwave phenomena. Key contributions include a bidirectional DUE formulation, a calibrated 3D bidirectional FD, a compatible node model, and validation across a small grid, a long corridor, and a large-scale Sydney CBD sidewalk network, demonstrating realistic congestion dynamics and path-switching behavior. The framework offers a scalable tool for planning and managing pedestrian infrastructure, enabling more accurate assessment of bidirectional crowd dynamics and informing investment and operations at city scale.
Abstract
Planning assessment of the urban walking infrastructure requires appropriate methodologies that can capture the time-dependent and unique microscopic characteristics of bidirectional pedestrian flow. In this paper, we develop a simulation-based dynamic pedestrian traffic assignment (DPTA) model specifically formulated for walking networks (e.g. sidewalks) with bidirectional links. The model consists of a dynamic user equilibrium (DUE) based route choice and a link transmission model (LTM) for network loading. The formulated DUE adopts a pedestrian volume delay function (pVDF) taking into account the properties of bidirectional pedestrian streams such as self-organization. The adopted LTM uses a three-dimensional triangular bidirectional fundamental diagram as well as a generalized first-order node model. The applicability and validity of the model is demonstrated in hypothetical small networks as well as a real-world large-scale network of sidewalks in Sydney. The model successfully replicates formation and propagation of shockwaves in walking corridors and networks due to bidirectional effects.
