Bus Scheduling Optimization Based on Improved Strength Pareto

Abstract

Bus S cheduling Problem involves conflictive objectives for bus agencies and passengers. To obtain solutions from this multi-objective problem, an optimizer S PEA2, was employed to provide a Pareto set of reliable bus schedules. The proposed approach was applied to a specific bus route using historical passenger flow data. The result obtained in this work was compared to the results provided by different optimization strategy in a quoted research, which was to solve a similar model with Immune Artificial Algorithm. Furthermore, the approach to execute real -time control was studied and an online platform was established to publish the bus transit information to improve service quality.