Use cases for rider assistant mobile application evaluation using travelling simulator
2016
Author
Naohisa Hashimoto (National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan), Takashi Okuma (National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan), Seiichi Miyakoshi (National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan), Kohji Tomita (National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan), Osamu Matsumoto (National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan), Alexander Smirnov (ITMO University, St. Petersburg, Russia), Alexey Kashevnik (ITMO University, St. Petersburg, Russia), Igor Lashkov (ITMO University, St. Petersburg, Russia)
Abstract
Today`s personal mobility vehicles have been considered as a solution for solving the last/first mile problem of a rider in big cities. It is important to investigate the rider factors, rider behavior, and rider-machine interface while using personal mobility vehicles in order to propose useful and safe personal mobility systems (including vehicles and software for the rider assistance). These factors can be evaluated using a simulator that attains realistic environments. The paper presents use cases for the rider assistant using a personal mobile application and their evaluation using the developed travelling simulator. The mobile application for the rider assistant is generated recommendations for the rider based on detected dangerous situation during the riding to prevent an accident. Dangerous situations detection is based on images analysis of the rider face taken from the front camera of the rider`s mobile device mounted in the personal mobility vehicle.
DOI
10.23919/FRUCT.2016.7892182
Journal
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Source
DOAJ