Comprehensive optimization of urban rail transit timetable by minimizing total travel times under time-dependent passenger demand and congested conditions
From MaRDI portal
Publication:2295338
DOI10.1016/j.apm.2018.02.013zbMath1480.90149OpenAlexW2793811993MaRDI QIDQ2295338
Publication date: 12 February 2020
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2018.02.013
time-dependent demandadaptive large neighborhood searchtrain timetablecomprehensive optimizationcongested conditiontotal passenger travel time
Applications of mathematical programming (90C90) Deterministic scheduling theory in operations research (90B35)
Related Items (5)
Simultaneous product and service delivery vehicle routing problem with time windows and order release dates ⋮ A robust train timetable optimization approach for reducing the number of waiting passengers in metro systems ⋮ Scheduling local and express trains in suburban rail transit lines: mixed-integer nonlinear programming and adaptive genetic algorithm ⋮ Integrated rolling stock deadhead routing and timetabling in urban rail transit lines ⋮ Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: model formulation and solution approaches
Cites Work
- Unnamed Item
- Unnamed Item
- Optimization by Simulated Annealing
- Modelling public transport passenger flows in the era of intelligent transport systems. COST action TU1004 (TransITS)
- A Green train scheduling model and fuzzy multi-objective optimization algorithm
- Timetabling optimization of a mixed double- and single-tracked railway network
- A survey of very large-scale neighborhood search techniques
- Timetabling optimization of a single railway track line with sensitivity analysis
- Balanced train timetabling on a single-line railway with optimized velocity
- Improving the robustness in railway station areas
- Exact formulations and algorithm for the train timetabling problem with dynamic demand
- Train timetabling for an urban rail transit line using a Lagrangian relaxation approach
- Strategic timetable scheduling for last trains in urban railway transit networks
- Timetable coordination of first trains in urban railway network: a case study of Beijing
- A branch and bound algorithm for scheduling trains in a railway network
- A Survey of Optimization Models for Train Routing and Scheduling
- Modeling and Solving the Train Timetabling Problem
- A Model, Algorithms and Strategy for Train Pathing
This page was built for publication: Comprehensive optimization of urban rail transit timetable by minimizing total travel times under time-dependent passenger demand and congested conditions