Wireless controller and smartphone based interaction system for electric bicycles

  1. REVUELTA HERRERO, Jorge 1
  2. VILLARRUBIA, Gabriel 1
  3. L. BARRIUSO, Alberto 1
  4. HERNÁNDEZ, Daniel 1
  5. LOZANO, Álvaro 1
  6. DE LA SERNA GONZÁLEZ, Marco Antonio 2
  1. 1 ACM Student Member
  2. 2 EBIKEMOTION TECHNOLOGIES S.L.
Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Año de publicación: 2015

Volumen: 4

Número: 4

Páginas: 59-68

Tipo: Artículo

DOI: 10.14201/ADCAIJ2015445968 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Objetivos de desarrollo sostenible

Resumen

Throughout the last years, great improvements have been made in the automotive industry, a sector with a high impact in both economics and social environments. Many development efforts have targeted on satisfying the need of providing smart environments to the end user in vehicles, such as cars. This paper proposes a brand-new solution in the automotive field, consisting of a new product family which aims to transform the traditional bicycle to an electric bicycle using an architecture that provides an adaptive environment to the user, improving the driving experience enabling value-added services.

Referencias bibliográficas

  • Abagnale, C., Cardone, M., Iodice, P., Strano, S., Terzo, M., & Vorraro, G. (2015). A Dynamic Model for the Performance and Environmental Analysis of an Innovative e-bike. Energy Procedia, 81, 618–627. http://doi.org/10.1016/j.egypro.2015.12.046
  • Astegiano, P., Tampère, C. M. J., & Beckx, C. (2015). A Preliminary Analysis Over the Factors Related with the Possession of an Electric Bike. Transportation Research Procedia, 10, 393–402. http://doi.org/10.1016/j.trpro.2015.09.089
  • Cherry, C. R., Yang, H., Jones, L. R., & He, M. (2016). Dynamics of electric bike ownership and use in Kunming, China. Transport Policy, 45, 127–135. http://doi.org/10.1016/j.tranpol.2015.09.007
  • Cho, K., Park, G., Cho, W., Seo, J., & Han, K. (2015). Performance analysis of device discovery of Bluetooth Low Energy (BLE) networks. Computer Communications. http://doi.org/10.1016/j.comcom.2015.10.008
  • Du, W., Yang, J., Powis, B., Zheng, X., Ozanne-Smith, J., Bilston, L., & Wu, M. (2013). Understanding on-road practices of electric bike riders: an observational study in a developed city of China. Accident; Analysis and Prevention, 59, 319–26. http://doi.org/10.1016/j.aap.2013.06.011
  • Ismail, K., Muharam, A., & Pratama, M. (2015). Design of CAN Bus for Research Applications Purpose Hybrid Electric Vehicle Using ARM Microcontroller. Energy Procedia, 68, 288–296. http://doi.org/10.1016/j.egypro.2015.03.258
  • Lee, S., & Lee, S. (2014). Early diffusion of smartphones in OECD and BRICS countries: An examination of the effects of platform competition and indirect network effects. Telematics and Informatics, 31(3), 345–355. http://doi.org/10.1016/j.tele.2013.12.002
  • Ling, Z., Cherry, C. R., Yang, H., & Jones, L. R. (2015). From e-bike to car: A study on factors influencing motorization of e-bike users across China. Transportation Research Part D: Transport and Environment, 41, 50–63. http://doi.org/10.1016/j.trd.2015.09.012
  • Omatu, S., Bersini, H., Corchado, J. M., Rodríguez, S., Pawlewski, P., & Bucciarelli, E. (Eds.). (2014). Distributed Computing and Artificial Intelligence, 11th International Conference (Vol. 290). Cham: Springer International Publishing. http://doi.org/10.1007/978-3-319-07593-8
  • Villarrubia, G., De Paz, J. F., Bajo, J., & Corchado, J. M. (2014). Ambient agents: embedded agents for remote control and monitoring using the PANGEA platform. Sensors (Basel, Switzerland), 14(8), 13955–79. http://doi.org/10.3390/s140813955
  • Wong, J.-T., & Huang, S.-H. (2013). Attention allocation patterns in naturalistic driving. Accident; Analysis and Prevention, 58, 140–7. http://doi.org/10.1016/j.aap.2013.04.033
  • Xia, J., Zhang, C., Bai, R., & Xue, L. (2013). Real-time and reliability analysis of time-triggered CAN-bus. Chinese Journal of Aeronautics, 26(1), 171–178. http://doi.org/10.1016/j.cja.2012.12.017
Fuente de los datos: Dialnet