Interactive urban route evaluation system for smart electromobility

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Interactive urban route evaluation system for smart electromobility Luis A. Curiel-Ramirez1,2 · Ricardo A. Ramirez-Mendoza1 · M. Rogelio Bustamante-Bello1 · Ruben Morales-Menendez1 · Ariel A. Lopez-Aguilar1 · Carlos A. Lugo-Galeana1 · Aaron S. Garcia-Chavez1 Received: 23 July 2020 / Accepted: 29 August 2020 © Springer-Verlag France SAS, part of Springer Nature 2020

Abstract The characterization of urban circuits for autonomous navigation is a crucial task for a fast integration of this technology in the near future. The purpose of this article is to present a proposal, that includes a sensor system that can acquire the necessary information to create an interactive redesign of an urban circuit for autonomous and electric vehicles. This proposal specifically consists in the instrumentation of a vehicle with a sensor system (Electronic and Computer Vision) that allows measurements on asphalt quality, quantity and type of signs, quality of communications systems, lane lines, vehicle dynamics, detection of other vehicles and any other element that helps to properly characterize a Smart Electromobility route. Once the information is captured, an analysis and mapping of the route is carried out to evaluate and redesign improvements in the route that allows the implementation of a Smart Electromobility circuit (for electric and autonomous vehicles). The system is developed and evaluated in an urban test route of Mexico City and the initial results are presented in this work. Keywords Smart mobility · Electric vehicles · Autonomous vehicles · Data analysis · Internet of vehicles · Computer vision

1 Introduction The advances of technologies that directly impact urban mobility, such as the improvement of electric vehicle components, development and improvement of autonomous vehicles and the efficient use of alternative energies in vehicles, has allowed us to see a rapid redesign towards smart and sustainable electromobility. These advances have been seen mostly in the last decade, in which the development of electromobility has sought a direct impact on the development of smart cities and generate more sustainable and efficient mobility routes. These developments have begun to be seen in the most developed cities, but it will begin to be an increasingly global concept for the next decade. One of the needs that have been generated by this development, is the creation of tools that allow an efficient analysis of the sustainability of smart electromobility projects. The

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Ricardo A. Ramirez-Mendoza [email protected]

1

School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City, Mexico

2

Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Aachen, Germany

lack of these tools can generate a high risk of testing this type of technologies [1,2]. The main objective, of any improvement of smart mobility, is the reduction of road accidents [2–4], so the development of autonomous vehicles has been considered one of the most viable but complicated solution to