01592733

Component

This study addresses a sustainable network design problem (NDP), where sustainability is considered from the aspects of uncertainty and environment disruption. Few previous works integrated both factors into the NDP. In this study, the mathematical framework of the strategic user equilibrium (StrUE) traffic assignment under volatility of both total travel demand and link capacity is analysed, which reflects disequilibrium observed in traffic networks. The authors incorporate the StrUE traffic assignment model into a network design project. The authors propose a multiobjective bi-level program for the NDP and formulate two objective functions of minimizing the expected total system travel time and minimizing the expected total system off-gas emissions in the uncertainty-based NDP. To solve the sustainable NDP, a tailored exact solution approach is developed based on the 𝜀-constraint method to find global and exact Pareto optimal solutions. Finally, a series of computational experiments are conducted to test the efficiency of the proposed approach. The results show that ignoring StrUE with uncertainty considerations can result in sub-optimal design solutions in terms of expected network performance in long-term transportation planning decisions. The results also report the trade-offs between travel time and off-gas emissions in the uncertainty-based NDP.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

01584066

16-3242

English

19p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References; Tables

Design; Equilibrium (Systems); Networks; Pollutants; Service disruption; Sustainable transportation; Traffic assignment; Travel time; Uncertainty

Network design problem; User equilibrium

Design; Environment; Highways; Planning and Forecasting

Transportation Research Board Annual Meeting 2016 Paper #16-3242

TRIS, TRB, ATRI

Jan 12 2016 5:26PM