Route optimization using forecasting, wheelchair modelling and path planning
Sanders, David, Tewkesbury, Giles, Haddad, Malik, Zouaoui, Zoubir and Simandjuntak, Sarinova (2021) Route optimization using forecasting, wheelchair modelling and path planning. In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).
Abstract
In routing systems, the capability to generate reliable safe routes depends on the integration of a path optimization algorithm with dynamics and models. In this work, a system based on a novel route optimization algorithm is considered. The sensitivity of the lowest energy solutions is analyzed considering different simplified wheelchair models. The aim is to implement a system for routing wheelchairs around obstacles so that more people can safely drive powered wheelchairs. Powered wheelchairs can positively impact participation, activity, wellbeing, pain and self-esteem. Systems described here can allowing more autonomous or collaborative driving, and enhance mobility of disabled individuals finding it difficult to use standard powered wheelchairs. The work included a small qualitative exploratory study that exposed three topics: (a) “situations that might benefit from path planning and obstacle avoidance; (b) “optimism concerning the use of technological systems on powered wheelchairs”; (c) “characteristics of disabled users that could benefit from using a powered wheelchair”. Findings indicated that the systems presented in this paper could help to overcome some of the difficulties in using powered wheelchairs.
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