01697782

Component

The implementation of transportation infrastructure projects is often identified as one of the major causes of non-recurrent traffic congestion in urban areas. For this reason, decision-makers need to select and schedule these projects within a manner that minimizes traffic delay. This paper develops a general framework to simultaneously select and schedule construction projects subject to budget constraints over a given planning horizon. The project types considered in this paper include capacity expansion, new road construction and road rehabilitation. This paper formulates the selection and scheduling problem as a bi-level program where the decision-makers derive the optimal set of projects and the implementation schedules of these projects. In the lower level, travelers seek to minimize their travel times based on the decision of decision-makers in the upper level. The bi-level program is a mixed-integer program with complementarity constraints which is extremely difficult to solve. Therefore, this paper proposes an exact algorithm to efficiently solve the problem for large networks. The numerical experiments illustrate the importance of providing necessary funds earlier during the planning horizon to provide more flexibility for the transportation decision-maker in ultimately reducing traffic congestion.

This paper was sponsored by TRB committee ADA50 Standing Committee on Transportation Programming and Investment Decision-Making.

19-03832

English

0000-0002-5931-5619

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References

Algorithms; Construction projects; Construction scheduling; Decision making; Network analysis (Planning); Road construction; Traffic congestion; Travel time

Construction; Highways; Planning and Forecasting

Transportation Research Board Annual Meeting 2019 Paper #19-03832

TRIS, TRB, ATRI

Dec 7 2018 9:37AM