@inproceedings{1f9ec16a8fe5411eb24deb662302b1d7,
title = "A Tree-Based Reoptimization Framework for Solving Traffic Assignment Problem in Rapid Decision Making Applications",
abstract = "This paper presents a rapid tree-based reoptimization framework for solving traffic assignment problems in many critical rapid decision making applications. In recent years, regional transportation decision makers and planning organizations are faced with many important decision-making situations with significantly changed origin-destination (O-D) demand patterns, partially due to pattern shifts in land use and emerging transportation modes such as shared bikes and shared vehicles. Thus, there is a critical need for a faster-than-real-time decision-making support system for enabling more informed planning processes. In our approach, we propose a new reoptimization method to recalculate new paths according to baseline traffic assignment results when responding to a new set of traffic demands or supply scenarios. Through smart indexing of previously-calculated traffic assignment outputs, our proposed algorithm can generate new network flow distributions quickly with satisfactory convergence performance. Finally, numerical experiments are performed to demonstrate the adaptive converging behavior and computational efficiency of our tree-based reoptimization algorithm.",
author = "Lijuan Zhuge and Wei Li and Jifu Guo and Kai Xian and Xin Wu and Xuesong Zhou",
year = "2018",
doi = "10.1061/9780784481523.020",
language = "English (US)",
series = "CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "205--214",
editor = "Xiaokun Wang and Yu Zhang and Diange Yang and Zheng You",
booktitle = "CICTP 2018",
note = "18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018 ; Conference date: 05-07-2018 Through 08-07-2018",
}