Shadi Sharif Azadeh

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Publications associées (68)

Passenger-centric timetable rescheduling: A user equilibrium approach

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

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 timetable rescheduling in case of disruption. We study a railway system in which passengers are free to choose their itinerary and compete over limited train capacity. We explicitly model the passengers' decisions using a choice model. We propose a multi-objective algorithmic approach to solve the problem. Service punctuality, operating cost, and passengers' inconvenience are selected as objectives. Computational experiments are performed on the Swiss and Dutch railway networks. The results demonstrate the performance of the algorithm in finding high-quality solutions in a computationally efficient manner.

PERGAMON-ELSEVIER SCIENCE LTD2021

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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 that a collaborative and interconnected network could create in different aspects of the supply chain. In this research, we study the last mile delivery as well as vehicle dispatching problems under the assumptions of collaborative supply chain networks while assuming that modularized boxes are applied inside the network from the provider to the final customer. Our research aims at proposing a more efficient resource planning with the minimal number of empty vehicle movements running on roads that ultimately leads to decrease carbon dioxide emission. The assumptions have been tested and verified using real data coming from a major retail company in Europe.

Springer, Cham2021

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A Lagrangian decomposition scheme for the choice-based optimization framework

Michel Bierlaire, Bernard Gendron, Meritxell Pacheco Paneque, Shadi Sharif Azadeh

2020

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