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Risk Assessment and Route Optimization for Life and Health Self-Keeping During e-Cycling.
- Source :
-
AIP Conference Proceedings . 2019, Vol. 2172 Issue 1, p080016-1-080016-11. 11p. 5 Diagrams, 8 Charts, 2 Graphs. - Publication Year :
- 2019
-
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 a priori known information as well as on information which is periodic and stochastic in the time and space. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2172
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 139667777
- Full Text :
- https://doi.org/10.1063/1.5133574