|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.
Copyright AIP Publishing
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Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus