ENVIRONMENTAL IMPACT OF INTELLIGENT TRANSPORTATION SCHEDULE FOR ELECTRIC VEHICLE IN AL-SOKHNA PORT

Shahira I. Karbouna, Noha H. El-Amary, Islam S. Elhosin

Abstract


Intelligent transportation systems and the use of electric vehicles in ports can have a positive impact on the environment by reducing emissions and promoting sustainability. It is important to note that the specific environmental impact would depend on various factors, including the scale of implementation, the efficiency of the charging infrastructure, and the overall energy mix used for electricity generation in the region. This paper examines the environmental effects of optimizing the transportation scheduling of Electric Vehicles (EVs) at Al-Sokhna port. It employs the Discrete Water Cycle Optimization Algorithm (DWCOA) to establish the best schedule, capacity, and routes for the EVs. The mathematical modelling of the system is detailed, covering its objective function, boundary values, conditions, limitations, and constraints. The optimization algorithm and system are implemented using Matlab. The study, focused on Al-Sokhna port, reveals several significant outcomes, including a reduction in emissions, decreased noise pollution, improved energy efficiency, enhanced integration of renewable energy, and a shift in transportation modes.

 

Keywords


Al-Sokhna port, Carbon dioxide emission reduction, Discrete Water Cycle Optimization Algorithm (DWCOA), Electric Vehicle (EV), Intelligent transportation scheduling.

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DOI: https://dx.doi.org/10.21622/MARLOG.2025.14.1.49

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Copyright (c) 2025 Shahira I. Karbouna, Noha H. El-Amary, Islam S. Elhosin

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The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

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Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt