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Design of Electric Vessels Test Routes Using Image Processing and Optimization Techniques

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-031-20611-5_21

1865-0937

Alejandro Uribe, Miguel Angel Calvache, Camilo Álvarez, Alejandro Montoya,

Maritime Ports and Logistics

Vessels are one of the transportation modes with high contribution to global warming and air pollution since their operation depends mostly on the use of fossil fuels. Given a large number of navigable rivers and the need for rural transportation in small and intermediate cities in Latin America, these vehicles are widely used, thus the need to propose sustainable alternatives arises. The ENERGETICA 2030 program is developing an electric vessel for passenger transportation between the municipalities of Magangué and Pinillos in Colombia; however, tests must be designed to replicate the operating conditions in a controlled environment. In this paper, we propose a method for route design based on image processing and optimization algorithms. Through the OpenStreetMap API, we extracted information from water bodies in images, then using the skeletonization method, we created graph structures and by means of the Dijkstra and Backtracking algorithms, the minimum distance feasible routes were selected. The Puerto Berrío (PB) - Puerto Nare (PN), Puerto Nare - Puerto Triunfo (PT) and Guatapé dam routes were chosen for the case study. It was found that to represent the exact distance of the Magangué – Pinillos route, the tests must be performed at the Guatapé dam. In case of giving priority to the similarity between segments, the PB - PN route must be selected. In future work we will consider obtaining real-time water level information and to strengthen the optimization algorithms to repeat nodes visited in the route evaluation.