Route Choice Optimization of Demand Responsive Transit Based on Analytical Hierarchy Process

摘要

Demand responsive transit (DRT) is gradually used in urban cities for meeting passengers' personal traveling demands and improving the accessibility of urban transit systems. As a key issue of DRT system operation, transit route choice optimization is mostly focused by transportation professionals. This paper proposes an analytical hierarchy process (AHP) based multi-objective optimization framework for optimizing the routes of DRT. The optimization objective is to maximize both transit networks coverage rate and transit trip contribution rate, simultaneously. A multi-objective DRT route optimization model is proposed following the rules of time window. Ant colony algorithm is introduced to solve the proposed multi-objective optimization model. Real data from Ningbo City is used for the proposed model calibration and evaluation. The evaluation results indicate the promising performance of the proposed multi-objective optimization model in improving the contribution rate and level of service of urban transit systems.