Addressing electric transit network design frequency setting problem with dynamic transit assignment

Abstract

Electric buses are projected to become the standard mode of transit systems in the foreseeable future for sustainable transportation. Realizing this transition necessitates a meticulously planned electricity infrastructure design which should be handled simultaneously with the traditional transit network planning to enhance the efficiency of electric transit networks. For this integrated problem referred to as the Electric Transit Network Design and Frequency Setting Problem, several studies have been conducted, with the absence of evaluating the energy state of each electric bus individually. The Multi-Objective Differential Evolution Algorithm (MODEA), developed to address the complex problem at hand, is tested on a hypothetical network by filling research gaps in previous studies. Energy states resulting from the individual evaluation of each bus in the best Pareto optimal solution considering dynamic aspects of the transit network are presented comprehensively. Furthermore, the impact of dynamic characteristics on the electric transit network design is demonstrated by comparing the findings obtained on the static network.

KEYWORDS:

• Electric transit network design and frequency setting problem
• opportunity charging strategy
• electric buses
• multi-objective differential evolution algorithm
• dynamic transit assignment

Disclosure statement

No potential conflict of interest was reported by the author(s).