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Jihane El Ouadi

Bio: Jihane El Ouadi is an academic researcher. The author has contributed to research in topics: Computer science & Transport engineering. The author has an hindex of 3, co-authored 7 publications receiving 18 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors explore the major trends in the theory and practice of shared transport systems, in terms of passengers and freight, and suggest a physical internet conceptual framework to check if we could promote such logistics.
Abstract: Traffic congestion, dominated by private mobility, reveals not only negative impacts on road safety and the environment, but also on community cohesion. With the global COVID-19/SARS-CoV-2COVID-19 (COVID-19) epidemic, there is an urgent need for social isolation and the use of individual private transport as per the approved health guidelines. Urban transport, especially public transportation (PT), is among the primary sectors affected due to the COVID-19 pandemic. Thus, novel alternatives for competitive PT services still have to be provided to remain meeting the socio-economic and ecological PT challenges. In this respect, sharing PT vehicles carrying passengers (shared freight-PT) could exploit a significant residual capacity as absorptive capacity is actually reduced. However, such use is based on a large-scale mutualization. The idea of integrating freight in passenger transit networks could be efficient within a Physical Internet (PI or π) framework for improving system monitoring, operational performance and, user comfort. This paper explores the major trends in the theory and practice of shared transport systems, in terms of passengers and freight, and suggests a PI conceptual framework to check if we could promote such logistics. In exploring the PI approach, a number of proposals appear providing answers and advance researches towards shared freight-PT.

18 citations

Proceedings ArticleDOI
02 Dec 2020
TL;DR: In this paper, a hybrid machine-learning framework combining several algorithms that are thought robust according to the literature and the achieved accuracy benchmarks is proposed to carry out a longterm urban land splitting that serve in building consolidation network.
Abstract: Private freight transportation has many advantages, including speed, comfort and affordability. However, it is not often efficient to shorten longer commute times, as it is unable to keep-up with logistics demand during peak hours. Integrative policies, in flow terms, could fill this gap when supported through freight consolidation. Yet, a key issue that emerges in the implementation of consolidation-based transportation systems is that of logistics demand for reducing uncertainties about whether it will be met. The main target of this article is to include demand volatility to carry out a longterm urban land splitting that serve in building consolidation network. To that end, we propose a hybrid machine-learning framework combining several algorithms that are thought robust according to the literature and the achieved accuracy benchmarks. Based upon simulated system, some analytical outlooks are provided below.

8 citations

Journal ArticleDOI
TL;DR: An urban zoning approach based on time series forecasting of supply chain demand through clustering customers is proposed based on a set of machine learning algorithms believed to be robust according to the literature and the achieved accuracy benchmarks.

8 citations

Journal ArticleDOI
TL;DR: In this article , the authors proposed a sequential approach combining several machine-learning tools of clustering and forecasting that are thought efficient according to the Key Performance Indicators (KPI).

3 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed two linear integer programming models for assigning parking spaces to all road users (private vehicles and carriers) while maximizing parking occupancy, which can effectively rule out parking problems.

3 citations


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TL;DR: A state-of-the-art review of the field of smart containers and a description of the physical and informational aspects associated to PI-containers in hyperconnected logistics are provided.
Abstract: The aim of the innovative Physical Internet (PI) concept is to reverse the unsustainability situation existing in current logistic systems, to meet the increasingly demanding services required by the users and to increase the global logistic performance. In the PI approach, the goods are encapsulated in modularly dimensioned, reusable or recyclable, and smart containers, called PI-containers. This paper focuses on the informational context of such containers and more particularly on their associated activeness. This capability allows the PI-container to have an active role in achieving its mission and in the PI management and operation. After a presentation of the physical and informational aspects associated to PI-containers in hyperconnected logistics, a state-of-the-art review of the field of smart containers is provided. The limitations of actual solutions for fulfilling the informational requirements are highlighted. The notion of activeness is detailed and a descriptive framework is introduced. Finally, a grouping application of containers in a PI-hub is used to illustrate the proposed framework.

61 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the major trends in the theory and practice of shared transport systems, in terms of passengers and freight, and suggest a physical internet conceptual framework to check if we could promote such logistics.
Abstract: Traffic congestion, dominated by private mobility, reveals not only negative impacts on road safety and the environment, but also on community cohesion. With the global COVID-19/SARS-CoV-2COVID-19 (COVID-19) epidemic, there is an urgent need for social isolation and the use of individual private transport as per the approved health guidelines. Urban transport, especially public transportation (PT), is among the primary sectors affected due to the COVID-19 pandemic. Thus, novel alternatives for competitive PT services still have to be provided to remain meeting the socio-economic and ecological PT challenges. In this respect, sharing PT vehicles carrying passengers (shared freight-PT) could exploit a significant residual capacity as absorptive capacity is actually reduced. However, such use is based on a large-scale mutualization. The idea of integrating freight in passenger transit networks could be efficient within a Physical Internet (PI or π) framework for improving system monitoring, operational performance and, user comfort. This paper explores the major trends in the theory and practice of shared transport systems, in terms of passengers and freight, and suggests a PI conceptual framework to check if we could promote such logistics. In exploring the PI approach, a number of proposals appear providing answers and advance researches towards shared freight-PT.

18 citations