Application of machine learning methods to route planning and navigation for disabled people

摘要: Daily observation and common sense reveal that way finding travel can be difficult time consuming for persons with visual/limp impairments. Researchers still have little understanding of what the various degrees difficulty are tasks, how they affect activity behaviour [1], [2]. This paper focuses on research development a new aid to increase independent mobility disabled elderly people in potentially unfamiliar environments by providing useful information both before during travelling. The route planning navigation system consists mainly four interrelated components: module assist travellers pre-planning their journeys, execute these plans provide users general information, orientation assistance journeys. itself consist geo-coding routine [11], fuzzy decision eliminate unfeasible pathways dependence type disability another select mobile equipment according handicaps. k-best paths found using modification well-known A* - algorithm. study employs social science techniques investigate quantify urban barriers, computer technologies translate into an operational assessment modelling package, dynamic segmentation network analysis techniques. tool is applied tested Georgenthal, Germany.