Green logistics location-routing problem with eco-packages
Optimization of the green logistics location-routing problem with eco-packages involves
solving a two-echelon location-routing problem and the pickup and delivery problem with …
solving a two-echelon location-routing problem and the pickup and delivery problem with …
Robust optimization models for integrated train stop planning and timetabling with passenger demand uncertainty
V Cacchiani, J Qi, L Yang - Transportation Research Part B …, 2020 - Elsevier
In this work, we consider the problem of scheduling a set of trains (ie, determining their
departure and arrival times at the visited stations) and simultaneously deciding their …
departure and arrival times at the visited stations) and simultaneously deciding their …
Integrated optimization of train timetable, rolling stock assignment and short-turning strategy for a metro line
In many large cities, metro operations during peak hours are characterized by an
overcrowded and unevenly-distributed passenger demand. This paper introduces a new …
overcrowded and unevenly-distributed passenger demand. This paper introduces a new …
Joint optimization of train timetabling and rolling stock circulation planning: A novel flexible train composition mode
The tidal traffic phenomenon is one of the most prominent problems on some metro lines,
where a large number of commuters during the peak hours might cause the non-equilibrium …
where a large number of commuters during the peak hours might cause the non-equilibrium …
Synchronization of train timetables in an urban rail network: A bi-objective optimization approach
As urban rail networks in big cities tend to expand, the synchronization of trains has become
a key issue for improving the service quality of passengers because most urban rail transit …
a key issue for improving the service quality of passengers because most urban rail transit …
Modified Bat Algorithm: a newly proposed approach for solving complex and real-world problems
Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …
Joint optimization of train scheduling and rolling stock circulation planning with passenger flow control on tidal overcrowded metro lines
This study proposes a joint optimization method for train scheduling and rolling stock
circulation planning with the consideration of passenger flow control strategy on a tidal …
circulation planning with the consideration of passenger flow control strategy on a tidal …
Joint optimization of carriage arrangement and flow control in a metro-based underground logistics system
Under the background of developing sustainable urban freight transportation on the
operation level, this study investigates a joint optimization problem of carriage arrangement …
operation level, this study investigates a joint optimization problem of carriage arrangement …
Train timetabling in rail transit network under uncertain and dynamic demand using advanced and adaptive NSGA-II
Z Han, B Han, D Li, S Ning, R Yang, Y Yin - Transportation Research Part B …, 2021 - Elsevier
It is critical to design an adaptable and stable train timetable for long-term use in rail transit
network that not only meets the dynamicity of passenger demand in different hours within …
network that not only meets the dynamicity of passenger demand in different hours within …
Decomposition and approximate dynamic programming approach to optimization of train timetable and skip-stop plan for metro networks
Carefully coordinating train timetables of different operating lines can help reduce transfer
delays, which in turn reduces station crowding and improves overall service quality. This …
delays, which in turn reduces station crowding and improves overall service quality. This …