Risk assessment and route optimization for life and health self-keeping during e-cycling | Zendy

Silvia Baeva | Zendy; Vasil Shterev | Zendy; Eltimir Chavdarov Stoimenov | Zendy; Nikolay Hinov | Zendy

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Risk assessment and route optimization for life and health self-keeping during e-cycling

Author(s) -

Silvia Baeva,

Vasil Shterev,

Eltimir Chavdarov Stoimenov,

Nikolay Hinov

Publication year - 2019

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.5133574

Subject(s) - safer , computer science , mathematical optimization , a priori and a posteriori , optimization problem , stochastic optimization , space (punctuation) , stochastic programming , algorithm , mathematics , philosophy , computer security , epistemology , operating system

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 a priori known information as well as on information which is periodic and stochastic in the time and space.

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