Abstract
Reversible lane operation, an effective strategy to relieve traffic congestion in urban arterials, must interact with other conventional traffic management and control components in the arterial, including left-turn restriction, lane channelisation, and signal timings. This paper develops a lane-based optimisation model to guide the integrated setting of reversible lanes and other traffic management measures in an arterial to maximise its operational performance. The optimisation problem is formulated as a multi-objective mix-integer non-linear programming model, which is then transformed into a single-objective mix-integer linear programming formulation for an optimal solution. Results from extensive numerical analyses have demonstrated the effectiveness of the proposed model.
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