Lane-based multi-class vehicle collaborative evacuation management

Abstract

Mixed traffic evacuation management is recognized as a critical and challenging task. This paper develops a bi-level model to address the multi-class vehicle collaborative evacuation problem. The upper-level program is a mixed-integer nonlinear programming (MINLP) model to determine the optimal lane allocation scheme according to the fleet size. The lower-level program is formulated as multiple independent system optimal dynamic traffic assignment (SO-DTA) problems to load mixed traffic flow. A two-layer solution method integrating branch-and-bound algorithm is developed to solve the model. Finally, the optimization model is applied in a small network and a real-world network. Results demonstrate that (1) the evacuation performance of multi-class vehicle collaboration is better than that of single-class vehicles under the medium demand levels; (2) the proposed model realizes the coupling among evacuation demand, fleet size, and road network capacity; (3) the shortest path should first be allocated to the bus during a mass evacuation.

KEYWORDS:

• Mixed traffic evacuation
• evacuation network clearance time
• bi-level programming
• lane allocation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work is supported by the National Program on Key Basic Research Project of China (No. 2018YFB1600900), the National Natural Science Foundation of China (No. 71971015), the Foundation of the State key Laboratory of Rail Traffic Control and Safety (No. RCS2020ZI001), and the Fundamental Research Funds for the Central Universities (No. 2020YJS074).