WIRELESS CONTROLLER AND SMARTPHONE BASED INTERACTION SYSTEM FOR ELECTRIC BICYCLES

General information

Authors:
Jorge REVUELTA HERRERO, Gabriel VILLARRUBIA, Alberto L. BARRIUSO, Daniel HERNÁNDEZ, Álvaro LOZANO, Marco Antonio DE LA SERNA GONZÁLEZ

DOI:
10.14201/ADCAIJ2015445968

Volume:
Regular Issue 4 (4), 2015

Keywords:

wireless; controller; smartphone; electric bicycle; ebikemotion

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.

References

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

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