Urban rail transit planning using a two-stage simulation-based optimization approach

E Hassannayebi, A Sajedinejad, S Mardani - Simulation Modelling Practice …, 2014 - Elsevier
In urban metro systems, stochastic disturbances occur repeatedly as a result of an increment
of demands or travel time variations, therefore, improving the service quality and robustness …

Simulation-optimization framework for train rescheduling in rapid rail transit

E Hassannayebi, A Sajedinejad… - Transportmetrica B …, 2021 - Taylor & Francis
One of the primary challenges of re-planning in high-speed urban railways is the
randomness of disruptive events. In this study, an integrated disturbance recovery model …

A hybrid simulation model of passenger emergency evacuation under disruption scenarios: A case study of a large transfer railway station

E Hassannayebi, M Memarpour, S Mardani… - Journal of …, 2020 - Taylor & Francis
The problem of managing effective pedestrian evacuation during disruptions is a significant
challenge because of the complexity and randomness of the passenger flow dynamics as …

A simulation-based optimization approach for integrated port resource allocation problem

G Ilati, A Sheikholeslami… - PROMET …, 2014 - hrcak.srce.hr
Sažetak Todays, due to the rapid increase in shipping volumes, the container terminals are
faced with the challenge to cope with these increasing demands. To handle this challenge, it …

Stochastic optimization of an urban rail timetable under time‐dependent and uncertain demand

M Shakibayifar, E Hassannayebi… - … Stochastic Models in …, 2017 - Wiley Online Library
Urban rail planning is extremely complex, mainly because it is a decision problem under
different uncertainties. In practice, travel demand is generally uncertain, and therefore, the …

Timetable optimization models and methods for minimizing passenger waiting time at public transit terminals

E Hassannayebi, SH Zegordi, M Yaghini… - Transportation …, 2017 - Taylor & Francis
This paper focuses on developing mathematical optimization models for the train timetabling
problem with respect to dynamic travel demand and capacity constraints. The train …

基于Q-learning 的高速铁路列车动态调度方法.

韩忻辰, 俞胜平, 袁志明… - Control Theory & …, 2021 - search.ebscohost.com
高速铁路作为国家综合交通运输体系的骨干核心, 近十年来取得了飞速蓬勃的发展.
其飞速发展的同时也引发了路网复杂化, 分布区域广等现象, 这些现象对高铁动态调度提出了更 …

An intelligent simulation platform for train traffic control under disturbance

M Shakibayifar, E Hassannayebi… - … Journal of Modelling …, 2019 - Taylor & Francis
Railway disturbance management is inherently a multi-objective optimization problem that
concerns both the operators' cost and passenger's service level. This study proposes a multi …

An integrated rescheduling model for minimizing train delays in the case of line blockage

M Shakibayifar, A Sheikholeslami, F Corman… - Operational …, 2020 - Springer
Disturbances in rail networks propagate delays and reduce the reliability and stability of the
train schedules. Thus, it is essential to manage the disturbances in rail networks. Railway …

A simulation-based optimization approach to reschedule train traffic in uncertain conditions during disruptions

M Shakibayifar, A Sheikholeslami… - Scientia …, 2018 - scientiairanica.sharif.edu
Delays and disruptions reduce the reliability and stability of the rail operations. Railway
traffic rescheduling includes ways to manage the operations during and after the …