Publications de Shadi Sharif Azadeh

Choice-driven dial-a-ride problem for demand responsive mobility service

Michel Bierlaire, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

Urban mobility services face the challenge of planning their operations efficiently while complying with user preferences. In this paper, we introduce a new mathematical model called a choice-driven dial-a-ride problem (CD-DARP) which is a generalization o ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Passenger-centric timetable rescheduling: A user equilibrium approach

Michel Bierlaire, Stefan Yves Gabriel Binder, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

Unexpected disruptions commonly occur in the railway network, causing delays, and extra cost for operators and inconvenience for passengers by missing their connection and facing overcrowded trains. This paper presents a passenger-centric approach for time ...

PERGAMON-ELSEVIER SCIENCE LTD2021

The Impact of Collaborative Scheduling and Routing for Interconnected Logistics: A European Case Study

Michel Bierlaire, Jianghang Chen, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

Interconnected logistics system can play an important role towards having a more sustainable green freight transport. Recently, after introducing the concept of Physical Internet (PI), researchers have started to explore the opportunities and challenges th ...

Springer, Cham2021

A Two-Stage Route Optimization Algorithm for Light Aircraft Transport Systems

Michel Bierlaire, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

2019

Passenger satisfaction maximization within a demand-based optimization framework

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque

2019

Train timetable design under elastic passenger demand

Michel Bierlaire, Tomas Robenek, Shadi Sharif Azadeh, Matthieu Marie Cochon de Lapparent, Mohammad Yousef Maknoon

2018

Hybrid Cyclicity: Combining The Benefits Of Cyclic And Non-Cyclic Timetables

Michel Bierlaire, Tomas Robenek, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

We propose a new type of timetable that would combine both the regularity of the cyclic timetables and the flexibility of the non-cyclic ones. In order to do so, several combinations of the two timetables are considered. The regularity is incorporated in t ...

Pergamon-Elsevier Science Ltd2017

Passenger Centric Train Timetabling Problem

Michel Bierlaire, Tomas Robenek, Jianghang Chen, Shadi Sharif Azadeh, Mohammad Yousef Maknoon

The aim of this paper is to analyze and to improve the current planning process of the passenger railway service in light of the recent railway market changes. In order to do so, we introduce the Passenger Centric Train Timetabling Problem. The originality ...

Pergamon-Elsevier Science Ltd2016

A Non-Parametric Approach to Demand Forecasting in Revenue Management

Shadi Sharif Azadeh

In revenue management, the profitability of the inventory and pricing decisions rests on the accuracy of demand forecasts. However, whenever a product is no longer available, true demand may differ from registered bookings, thus inducing a negative bias in ...

2015

The impact of customer behavior models on revenue management systems

Shadi Sharif Azadeh

Revenue management (RM) can be considered an application of operations research in the transportation industry. For these service companies, it is a difficult task to adjust supply and demand. In order to maximize revenue, RM systems display demand behavio ...

2015

A taxonomy of demand uncensoring methods in revenue management

Shadi Sharif Azadeh

Revenue management systems rely on customer data, and are thus affected by the absence of registered demand that arises when a product is no longer available. In the present work, we review the uncensoring (or unconstraining) techniques that have been prop ...

2014

Railway demand forecasting in revenue management using neural networks

Shadi Sharif Azadeh

This study analyses the use of neural networks to produce accurate forecasts of total bookings and cancellations before departure, of a major European rail operator. Effective forecasting models, can improve revenue performance of transportation companies ...

2013