|Autors: Baeva, S. K., Shterev, V. A., Hinov, N. L., Kanchev, H. C.|
Title: Risk Assessment and Route Optimization for E-bike Cycling
Keywords: risk assessment, e-bike cycling, optimal route, mathematical model, stochastic problem
Abstract: In this paper, investigation of the risk during cycling of an e-bike is presented. The input parameter taken into account is the number of obstacles in each alternative branch of the route. Under obstacle in this study is considered any object that could either threaten the life of cyclist or present an obstacle in his way (potholes on the road or dangerous terrain, stray animals, hooligans, incompetent car drivers etc.). The mathematical model is expressed as a stochastic problem with two stages. The first stage consists of a calculation of the average risk in each branch of the route. In this study the average risk in each branch is expressed by grouped statistical data. The input parameters are stochastic and discretized, preprocessed by statistic methodology. In the second stage the optimal route is found by application of the Bellman’s optimality principle.
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