![]() Thirdly, we propose and implement a heuristic solution algorithm based on neighborhood search to achieve high-performance solutions. Logic and operational rules are also considered as constraints to ensure the implementation of the solutions. ![]() Secondly, a multi-objective optimization model is constructed, which considers higher service quality and lower operating costs as objectives. Firstly, the determination processes of TT and VS are correlated by constructing the multiple vehicles’ trip-link chains with departure time information to facilitate simultaneous optimization. To solve the bus service planning problem systematically in the multi-line operation mode, we propose an integrated framework for bus timetabling (TT) and vehicle scheduling (VS), which are the two fundamental processes of bus service planning. With the convergence of bus lines and the formation of bus hubs, a multi-line operation mode which can realize the centralized management of vehicles is applied to the daily bus service planning. Moreover, it can allow the vehicle charging periods to be evenly distributed during off-peak hours.īus service is of great significance to urban residents. ![]() Compared to both the existing schedule and sequential schedule, the integrated model can not only effectively and efficiently reduce the number of vehicles and total charging costs, but also noticeably increase the smoothness of departure intervals. Considering the priority relationships among three objective components, an optimal solution selection strategy is developed. A multiobjective particle swarm optimization (MOPSO) algorithm is developed to get the Pareto-optimal solution set. The constraints reflect the limitations related to the range of departure intervals during different time periods, the vehicle operation mileage, and the charging conditions. The objectives include smoothing the vehicle departure intervals and minimizing the number of vehicles and total charging costs. This paper focuses on the bus timetabling and vehicle scheduling problem for electric buses and develops a multiobjective optimization model for a single bus line operated with electric buses. Electric buses are more environmentally friendly compared with conventional buses, and have been developing rapidly and may replace conventional buses in many cities worldwide. ![]() Timetable and vehicle scheduling are important for transit operations. ![]()
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