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Journal of Advanced Transportation
Volume 2018 (2018), Article ID 2738930, 18 pages
https://doi.org/10.1155/2018/2738930
Research Article

Time-Dependent Transportation Network Design considering Construction Impact

1Department of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, USA
2Institute of Transportation Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, China

Correspondence should be addressed to Lihui Zhang; nc.ude.ujz@gnahziuhil

Received 21 August 2017; Revised 27 November 2017; Accepted 12 December 2017; Published 15 January 2018

Academic Editor: Martin Trépanier

Copyright © 2018 Yi He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A traditional discrete network design problem (DNDP) always assumes transportation infrastructure projects to be one-time events and ignores travelers’ delays caused by construction work. In fact, infrastructure construction usually lasts for a long time, and the impact on traffic can be substantial. In this paper, we introduce time dimension into the traditional DNDP to explicitly consider the impact of road construction and adopt an overtime policy to add flexibility to construction duration. We address the problem of selecting road-widening projects in an urban network, determining the optimal link capacity, and designing the schedule of the selected projects simultaneously. A time-dependent DNDP (T-DNDP) model is developed with the objective of minimizing total weighted net user cost during the entire planning horizon. An active-set algorithm is applied to solve the model. A simple example network is first utilized to demonstrate the necessity of considering the construction process in T-DNDP and to illustrate the trade-off between the construction impact and the benefit realized through capacity extension. We also solve the T-DNDP model with data from the Sioux Falls network, which contains 24 nodes, 76 links, and 528 origin-destination (O-D) pairs. Computational results for the problem are also presented.