Autors: Baeva, S. K., Shterev, V. A., Stoimenov, E. C., Hinov, N. L.
Title: Risk Assessment and Route Optimization for Life and Health Self-Keeping During e-Cycling
Keywords: risk assessment, e-bike, route optimization

Abstract: The paper presents the creation of a general mathematical model of a two-step optimization problem which finds the most-safer route of an electric-bicycle cyclist. The first step is a multi-criteria problem which finds the average risk in the different segments which forms the complete route. To solve the problem, a scalarization method is used (also known as weighted sum method). In the second step, the safer route is found by applying a network optimization model. To find the solution a method for dynamic optimization is applied (Bellman's Principle). The generation of data is based on the apriori known information as well as on information which is periodic and stochastic in the time and space.

References

    Issue

    AIP Conference Proceedings, vol. 2172, issue 1, pp. 080016-1 080016-11, 2019, Bulgaria, AIP Conference Proceedings, ISBN 978-0-7354-1919-3

    Copyright AIP Publishing

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    Цитирания (Citation/s):
    1. Vicente Aprigliano, Catalina Toro, Gonzalo Rojas, Iván Bastías, Marcus Cardoso, Tálita Santos, Marcelino Aurélio Vieira da Silva, Emilio Bustos, Ualison Rébula de Oliveira and Sebastian Seriani, “Mapping the Dream: Designing Optimal E-Bike Routes in Valparaíso, Chile, Using a Multicriteria Analysis and an Experimental Study”, ISPRS International Journal of Geo-Information, Volume 14, Issue 1, MDPI, https://doi.org/10.3390/ijgi14010038, ISSN 22209964, 2025. - 2025 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus