Bi-Level Optimal Sequence and Schedule for Multiple Workzone Projects using WISE and Traffic Simulation
Corresponding Author: Tao Ma, University of Memphis
Presented By: Sabyasachee Mishra, University of Memphis
This research focuses on finding optimal solution for workzone project coordination, sequencing, and scheduling by using bi-level optimization methodology. The upper level of the method employs heuristic neighborhood search algorithm to find optimal sequence and schedule of multiple workzone projects, which is input to traffic network, whereas, the lower level performs dynamic traffic assignment with traffic simulation model to provide traffic diversion information to the upper level for optimal decision making. This interactive bi-level optimization is an iterative process until it gets converged or meets stopping criteria pre-specified. The sequence and schedule of multiple project at upper level is optimized with WISE software. The traffic simulation is performed with NEXTA mesoscopic simulation model based on MPO Memphis network. This bi-level optimization process considers both system decision maker and individual road user’s route choice. The implication of this research is to provide an effective and robust tool for governmental agency to make better planning scenario for workzone related projects as well as traffic management under conditions of construction, maintenance, and utility work. It is anticipated that workzone related crashes will be reduced with optimal coordination of multiple workzone projects and traffic management. The results are a part of one of the four test pilot projects of Federal Highway Administration’s (FHWA) Strategic Highway Research Program (SHRP 2) WISE tool.