Abstract
This paper proposes a Safety-Aware Navigation Application (SANA) for pedestrian protection in vehicular networks. Because the distracted walking by the smartphone usage in a street or crossroad usually causes road accidents and casualties, it is necessary to design an energy-efficient safety service for a smartphone to warn a pedestrian of possible danger. SANA provides smartphone users with such a safety service. This service calculates the collision possibility that is modeled from the travel delay (i.e., moving time from a position to another position) of both a vehicle and a pedestrian. It also generates an alarm to warn both the vehicle and pedestrian that are relevant to a possible collision. It considers the encounter time of the vehicle and pedestrian for maximum sleeping time to save energy. This paper proposes a scheduling algorithm for optimizing such a sleeping time, considering the filtering of irrelevant smartphones to minimize false positive alarms. The results of the simulation prove that our SANA outperforms legacy schemes in terms of energy consumption and alarm delay (i.e., time difference between the expected alarm time and the actual alarm time).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
National Highway Traffic Safety Administration et al. Traffic safety facts: 2012 occupant protection. washington, dc: Us department of transportation, national highway traffic safety administration: 2014. publication no. Technical report, DOT-HS-811-892.[cited 2014 September 8] (2014). http://www-nrd.nhtsa.dot.gov/Pubs/811892.pdf
Mane, P.S., Khairnar, V.: Power efficient location based services on smart phones. Int. J. Emerg. Technol. Adv. Eng. 3(10), 350–354 (2013)
Hwang, T., Jeong, J.P., Lee, E.: SANA: Safety-aware navigation app for pedestrian protection in vehicular networks. In: 2014 International Conference on Information and Communication Technology Convergence (ICTC), pp. 947–953, October 2014
Morgan, Y.L.: Notes on dsrc & wave standards suite: its architecture, design, and characteristics. Commun. Surv. Tutor. IEEE 12(4), 504–518 (2010)
Huang, D., Xing, T., Huijun, W.: Mobile cloud computing service models: a user-centric approach. Netw. IEEE 27(5), 6–11 (2013)
Monfreid, C.: The lte network architecture-a comprehensive tutorial. In: Some content may change prior to final publication. Alcatel-Lucent White Paper (2009)
Polus, A.: A study of travel time and reliability on arterial routes. Transp. 8(2), 141–151 (1979)
Berry, D.S., Belmont, D.M., et al.: Distribution of vehicle speeds and travel times. In: Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, pp. 589–602. The Regents of the University of California (1951)
DeGroot, M.H., Schervish, M.J.: Probability and Statistics. Prentice Hall, Upper Saddle River (2002)
Philadelphia Department of Transportation. Traffic Control Center. http://philadelphia.pahighways.com/philadelphiatcc.html
CEDR. Safe Distance Between Vehicles (2010). http://www.cedr.fr/home/fileadmin/user_upload/Publications/2010/e_Distance_between_vehicles.pdf
Fan, J., McCandliss, B.D., Sommer, T., Raz, A., Posner, M.I.: Testing the efficiency and independence of attentional networks. J. Cogn. Neurosci. 14(3), 340–347 (2002)
Perrucci, G.P., Fitzek, F.H.P., Widmer, J.: Survey on energy consumption entities on the smartphone platform. In: 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1–6. IEEE (2011)
Rahmati, A., Zhong, L.: Context-for-wireless: context-sensitive energy-efficient wireless data transfer. In: Proceedings of the 5th International Conference on Mobile systems, Applications and Services, pp. 165–178. ACM (2007)
Veins. open source Inter-Vehicular Communication (IVC) simulation. http://veins.car2x.org/documentation/
OMNeT++. Network Simulator. http://www.omnetpp.org/
SUMO. Simulation of Urban Mobility. http://sumo-sim.org/userdoc/Downloads.html
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2014006438). This research was supported in part by Global Research Laboratory Program (2013K1A1A2A02078326) through NRF, and the ICT R&D program of MSIP/IITP (14-824-09-013, Resilient Cyber-Physical Systems Research) and the DGIST Research and Development Program (CPS Global Center) funded by the Ministry of Science, ICT & Future Planning. Note that Jaehoon (Paul) Jeong is the corresponding author.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Hwang, T., Jeong, J.(. (2015). SANA: Safety-Aware Navigation Application for Pedestrian Protection in Vehicular Networks. In: Hsu, CH., Xia, F., Liu, X., Wang, S. (eds) Internet of Vehicles - Safe and Intelligent Mobility. IOV 2015. Lecture Notes in Computer Science(), vol 9502. Springer, Cham. https://doi.org/10.1007/978-3-319-27293-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-27293-1_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27292-4
Online ISBN: 978-3-319-27293-1
eBook Packages: Computer ScienceComputer Science (R0)