01697293

Component

Construction projects are often associated with partial or full road closures which result in user costs in terms of delay, discomfort, and inconvenience and community disruptions in terms of interruption of social activity and reduction in business productivity. This paper presents and demonstrates a methodology for developing an optimal project schedule for multiple road projects within a construction season. The goal is to minimize the overall cost to road users and adjacent businesses over the construction season subject to a budget constraint. The project scheduling problem is formulated as a mixed-integer nonlinear program. The approach used in this study solves the problem using the local decomposition method. The methodology is demonstrated using the case study of the Sioux-Falls network with two project types: capacity expansion and rehabilitation. The results of the numerical experiment suggest that for a network-wide project schedule, using explicit optimization can yield in 14% reduction in business disruption cost compared to the schedule developed with only considering the total system travel time.

This paper was sponsored by TRB committee AHD10 Standing Committee on Maintenance and Operations Management.

19-03829

English

0000-0002-5931-5619

7p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References

Business practices; Construction projects; Infrastructure; Revenues; Scheduling; Scheduling

Construction; Finance; Highways; Maintenance and Preservation

Transportation Research Board Annual Meeting 2019 Paper #19-03829

TRIS, TRB, ATRI

Dec 7 2018 9:23AM