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  4. Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework
 
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Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework

Journal
European Journal of Operational Research
Journal Volume
286
Journal Issue
2
Pages
508-522
Date Issued
2020
Author(s)
Miralinaghi, M.
Seilabi, S.E.
Chen, S.
Hsu, Y.-T.
Labi, S.
YU-TING HSU  
DOI
10.1016/j.ejor.2020.03.051
URI
https://www.scopus.com/inward/record.url?eid=2-s2.0-85083383098&partnerID=40&md5=b67eb43ced844026e1969ae0b18237c7
https://scholars.lib.ntu.edu.tw/handle/123456789/547402
Abstract
One of the major causes of non-recurrent traffic congestion in urban areas is the implementation of transport infrastructure projects on city roads. The seeming ubiquity of work zones in cities causes road user frustration and safety hazards, and public relations problems for the transport agency. For this reason, transport agencies seek strategic ways to not only select urban projects but also schedule them in a manner that minimizes the effort associated with these functions. In other words, they seek to exploit the synergies between the tasks of project selection and project scheduling while duly accommodating the project interdependencies. This study introduces a general framework that simultaneously and optimally selects and schedules urban road projects subject to budgetary constraints over a given planning horizon. The project classes considered in this study are lane addition, new road construction, and road maintenance. Through a mimicry of the classic Stackelberg leader-follower game, this problem is formulated herein as a bi-level program. In the upper level, the leader (transport agency decision-makers) determines an optimal set of projects from a larger pool of candidate projects and decides an optimal schedule for their implementation. In the lower level, the followers (road users) seek to minimize their travel delays based on the two decisions made by the leader in the upper level. The numerical experiments show that if the decision-makers do not consider the peri-implementation capacity reduction, the resulting set of selected projects and their construction schedule can lead to significant travel delay cost for the road users. © 2020 Elsevier B.V.
Subjects
Active-set algorithm; Bi-level program; Project scheduling; Project selection; Transport
SDGs

[SDGs]SDG9

[SDGs]SDG11

Other Subjects
Budget control; Decision making; Motor transportation; Public relations; Roads and streets; Scheduling; Traffic congestion; Urban planning; Budgetary constraints; Capacity reduction; Construction schedules; Leader-follower games; Numerical experiments; Project scheduling; Project selection; Transport infrastructure; Urban transportation
Type
journal article

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