An integrated multi-regional cooperative strategy for real-time electric taxi dispatching and charging

The rapid roll-out of electric taxis has introduced significant challenges in both urban transport and power systems, particularly in order dispatching and charging management. This study proposes an integrated multi-regional strategy that optimizes both order dispatching and charging strategies for electric taxis. First, an order dispatching strategy based on the deferred acceptance algorithm is developed, considering the impacts of passengers’ and drivers’ psychology on travel experience over waiting time. Then, a regional cooperative charging scheduling strategy using a multi-objective programming model is proposed, incorporating factors such as range anxiety, charging costs, and potential order losses. The assignment of taxis to charging stations is optimized using the Hungarian algorithm. To evaluate the proposed strategy, a discrete event simulation is implemented using historical data from Shanghai’s Huangpu District, involving 200 electric taxis and 19 charging stations. Results show that, compared to uncoordinated charging, the proposed scheduling strategy increases the total service time by 13.8% , while improving the charging load balance by 21.7%. The proposed approach significantly enhances the operational efficiency and service quality of electric taxi systems, while mitigating the negative impact of improper taxi charging operation in the stressed urban power grid.