Estimating Path Travel Costs for Heterogeneous Users on Large-Scale Networks: Heuristic Approach to Integrated Activity-Based Model–Dynamic Traffic Assignment Models

• DOI: 10.3141/2667-12
• Publication Date: 2017-12-11T20:32:42Z
• Authors: Xiang (Alex) Xu; Fatemeh Fakhrmoosavi; Ali Zockaie; Hani S. Mahmassani
• Keywords: 0502 economics and business; 05 social sciences; 11. Sustainability

Integrating activity-based models (ABMs) with simulation-based dynamic traffic assignment (DTA) have gained attention from transportation planning agencies seeking tools to address the arising challenges as well policies such road pricing. Optimal paths least generalized cost are needed route travelers at DTA level, while ABM only information is (without fully specified paths). Thus, rerunning (executing) path-finding algorithm each iteration of and does not seem be efficient, especially for large-scale networks. Furthermore, storing travel skims multiclass users an alternative approach efficient either in regard memory requirements. In this study, aim was estimate so used destination mode choice level. A heuristic developed use simulated vehicle trajectories that were assigned optimal level different measures, including distance, time, monetary associated path any given combination origin, destination, departure time (ODT) value time. The proposed approximation method presented study trajectories, aligned origin–destination direction located a specific boundary shaping ellipse around origin zones certain window, costs ODT user class. Numerical results two real-world networks suggest applicability addition its lower computational burden, solution requirements, relative other approaches.