A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Chi Xie - , University of Texas at Austin (Autor:in)
  • Dung Ying Lin - , National Cheng Kung University (Autor:in)
  • S. Travis Waller - , University of Texas at Austin (Autor:in)

Abstract

This paper discusses a dynamic evacuation network optimization problem that incorporates lane reversal and crossing elimination strategies. These two lane-based planning strategies complement one another by increasing capacity in specific directions through the evacuation network. A bi-level network optimization model is formulated, in which the upper level aims at optimizing the network evacuation performance subject to the lane-reversal and crossing-elimination constraints and the lower level conveys a cell transmission-based dynamic traffic assignment problem. An integrated Lagrangian relaxation and tabu search method is devised for approximating optimal problem solutions through an iterative optimization-evaluation process. The numerical results of implementing the developed modeling and solution approach to a synthetic network and a real-world example application justify its theoretical and practical value.

Details

OriginalspracheEnglisch
Seiten (von - bis)295-316
Seitenumfang22
FachzeitschriftTransportation Research Part E: Logistics and Transportation Review
Jahrgang46
Ausgabenummer3
PublikationsstatusVeröffentlicht - Mai 2010
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

ORCID /0000-0002-2939-2090/work/141543851

Schlagworte

Schlagwörter

  • Cell transmission model, Dynamic traffic assignment, Evacuation planning, Lagrangian relaxation, Tabu search, Transportation network design