Intelligent Embedded Devices for Multistage Scheduling Tasks in Public Electric Transport

This paper describes the investigation of genetic algorithm using to control intelligent public electric transport in multistage scheduling tasks. Public electric transport in the city are influenced by several conditions, such as delaying in passengers stops and crossroads, whether conditions etc. All these conditions influence arriving time to next passengers stop on the route. On the other hands public transport units is obliged to arrive in stops according predefined schedule. Delaying is ultimate undesirable. Transport unit optimal motion speed is calculated using genetic algorithm to get next stop according schedul