Use cases for rider assistant mobile application evaluation using travelling simulator

Naohisa Hashimoto; Takashi Okuma; Seiichi Miyakoshi; Kohji Tomita; Osamu Matsumoto; Alexander Smirnov; Alexey Kashevnik; Igor Lashkov

doi:10.23919/FRUCT.2016.7892182

Use cases for rider assistant mobile application evaluation using travelling simulator

Naohisa Hashimoto, Takashi Okuma, Seiichi Miyakoshi, Kohji Tomita, Osamu Matsumoto, Alexander Smirnov, Alexey Kashevnik, Igor Lashkov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016
Editors	Tatiana Tyutina, Sergey Balandin
Publisher	IEEE Computer Society
Pages	47-53
Number of pages	7
ISBN (Electronic)	9789526839752
DOIs	https://doi.org/10.23919/FRUCT.2016.7892182
Publication status	Published - 2017 Apr 4
Externally published	Yes
Event	19th Conference of Open Innovations Association, FRUCT 2016 - Jyvaskyla, Finland Duration: 2016 Nov 7 → 2016 Nov 11

Publication series

Name	Conference of Open Innovation Association, FRUCT
ISSN (Print)	2305-7254

Conference

Conference	19th Conference of Open Innovations Association, FRUCT 2016
Country/Territory	Finland
City	Jyvaskyla
Period	16/11/7 → 16/11/11

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

Access to Document

10.23919/FRUCT.2016.7892182

Cite this

Hashimoto, N., Okuma, T., Miyakoshi, S., Tomita, K., Matsumoto, O., Smirnov, A., Kashevnik, A., & Lashkov, I. (2017). Use cases for rider assistant mobile application evaluation using travelling simulator. In T. Tyutina, & S. Balandin (Eds.), Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016 (pp. 47-53). [7892182] (Conference of Open Innovation Association, FRUCT). IEEE Computer Society. https://doi.org/10.23919/FRUCT.2016.7892182

Use cases for rider assistant mobile application evaluation using travelling simulator. / Hashimoto, Naohisa; Okuma, Takashi; Miyakoshi, Seiichi et al.
Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016. ed. / Tatiana Tyutina; Sergey Balandin. IEEE Computer Society, 2017. p. 47-53 7892182 (Conference of Open Innovation Association, FRUCT).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hashimoto, N, Okuma, T, Miyakoshi, S, Tomita, K, Matsumoto, O, Smirnov, A, Kashevnik, A & Lashkov, I 2017, Use cases for rider assistant mobile application evaluation using travelling simulator. in T Tyutina & S Balandin (eds), Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016., 7892182, Conference of Open Innovation Association, FRUCT, IEEE Computer Society, pp. 47-53, 19th Conference of Open Innovations Association, FRUCT 2016, Jyvaskyla, Finland, 16/11/7. https://doi.org/10.23919/FRUCT.2016.7892182

Hashimoto N, Okuma T, Miyakoshi S, Tomita K, Matsumoto O, Smirnov A et al. Use cases for rider assistant mobile application evaluation using travelling simulator. In Tyutina T, Balandin S, editors, Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016. IEEE Computer Society. 2017. p. 47-53. 7892182. (Conference of Open Innovation Association, FRUCT). doi: 10.23919/FRUCT.2016.7892182

@inproceedings{e2b2705e32ac42fba9662d8a9b64ef12,

title = "Use cases for rider assistant mobile application evaluation using travelling simulator",

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.",

author = "Naohisa Hashimoto and Takashi Okuma and Seiichi Miyakoshi and Kohji Tomita and Osamu Matsumoto and Alexander Smirnov and Alexey Kashevnik and Igor Lashkov",

note = "Publisher Copyright: {\textcopyright} 2016 FRUCT.; 19th Conference of Open Innovations Association, FRUCT 2016 ; Conference date: 07-11-2016 Through 11-11-2016",

year = "2017",

month = apr,

day = "4",

doi = "10.23919/FRUCT.2016.7892182",

language = "English",

series = "Conference of Open Innovation Association, FRUCT",

publisher = "IEEE Computer Society",

pages = "47--53",

editor = "Tatiana Tyutina and Sergey Balandin",

booktitle = "Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016",

}

TY - GEN

T1 - Use cases for rider assistant mobile application evaluation using travelling simulator

AU - Hashimoto, Naohisa

AU - Okuma, Takashi

AU - Miyakoshi, Seiichi

AU - Tomita, Kohji

AU - Matsumoto, Osamu

AU - Smirnov, Alexander

AU - Kashevnik, Alexey

AU - Lashkov, Igor

PY - 2017/4/4

Y1 - 2017/4/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85018639949&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018639949&partnerID=8YFLogxK

U2 - 10.23919/FRUCT.2016.7892182

DO - 10.23919/FRUCT.2016.7892182

M3 - Conference contribution

AN - SCOPUS:85018639949

T3 - Conference of Open Innovation Association, FRUCT

SP - 47

EP - 53

BT - Proceedings of the 19th Conference of Open Innovations Association, FRUCT 2016

A2 - Tyutina, Tatiana

A2 - Balandin, Sergey

PB - IEEE Computer Society

T2 - 19th Conference of Open Innovations Association, FRUCT 2016

Y2 - 7 November 2016 through 11 November 2016

ER -

Use cases for rider assistant mobile application evaluation using travelling simulator

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this