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This article highlights the need to rethink how to manage mobility in Morocco more intelligently, given that it is a major pillar of economic competitiveness. Smart mobility based on Intelligent Transport Systems (ITS) allows to improve and ensure the optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects. The case regarding the separation of the urban traffic and the Heavy Goods Vehicles (HGV) traffic circulating between Casablanca Port and Zenata Dry Port is a relevant example where smart mobility could provide efficient solutions without building costly tunnels. A dynamic simulation was made using the Aimsun software to quantify the relevance of the proposed lane designated to HGV in the existing road. This simulation allows to visualise congestion sections and quantify the circulation of vehicles and pedestrians. The article presents defined functions and characteristics of the Advanced Traffic Management (ATM) to ensure the optimal operation and efficient setting of the simulation. All appliances, hardware, and sensors that will be set up on-site will help to improve traffic safety, traffic flow, traffic information, and reduce congestion and pollution. This case study illustrates the complexity of managing the flow of goods in cities and suggests how to solve this type of problems using smart mobility. This research proposes reserving a special lane for HGV. ITS will help this cost-optimal alternative, will promote the urban framework of the coastal road, and contribute to sustainable mobility in Casablanca.

All over the world, dam managers are constantly confronted with the siltation of dam reservoirs. This natural phenomenon represents a menace to the safety of the dam; because sediments deposited amplifies the load applied to the dam and shut off the dam’s bottom outlet. It also reduces the usable capacity of the reservoir and degrades the quality of the water stored (pollution, eutrophication, turbidity, etc.). In arid and semi-arid countries like Morocco, de-silting stays the best solution for silted dams. However, when we de-silt dam reservoirs, we produce enormous volumes of mud, which represent potential pollution for the environment and occupy immense terrains. Our research was carried out on the possible uses of these sediments. It has enabled us to develop a valuation guide in Civil Engineering, Agriculture, crafts, and the environment sectors. This guide provides a framework for performing tests and analyses to do on the sediments to compare them with the limit values required by regulations and standards in several economic sectors. The results of these evaluations help us to find the most appropriate uses of the sediments in the sectors mentioned above.

The availability, accessibility and quality of data are significant obstacles to hydrological modelling. Estimating the initial values of the hydrological model´’ ’s parameters is a laborious and determining task requiring much attention. Geographic information systems (GIS) and spatial remote sensing are prometting tools for processing and collecting data. In this work, we use an innovative approach to estimate the HEC-HMS hydrological model parameters from the soil map of Africa (250m), the land use map GLC30, the depth to bedrock map, the digital elevation model and observed flow data. The estimation approach is applied to the Ouergha basin (Sebou, Morocco). The proposed approach’s interest is to feed the HEC-HMS hydrological model with initial values of parameters close to the study area reality instead of using random parameters.