Araştırma Makalesi
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Vehicle Speed Warning System based on Mobile Device

Yıl 2016, , 8 - 15, 15.04.2016
https://doi.org/10.19113/sdufbed.00518

Öz

Traffic jam caused by the increasing number of vehicles has required that the driver should be more carefull to provide a safe transportation. With the developing technology, mobile devices have been used in applications such as ensure of the traffic flow in the road transport, drivers be informed in advance about traffic, road and environmental against possible accidents. In this study an application for informing and warning the driver was developed by accessing to a vehicle's network information via iphone The data received through the ELM327 from CAN bus that one of the data buses used in vehicle was monitored on a mobile application. Diagnostic device supposed with wifi technology is chosen to access vehicle data traffic via iphone. Also GPS (Global Positioning System)sensor located on mobile device is to used inform the driver with placement datas application. Upon the highways, drivers were provided to warn by exceeding the selected value in situations requiring speed limits. It is assumed to contribute to the Traffic Management System that the variable data of vehicle such as position, speed, route, failure can be shared.

Kaynakça

  • Su, K., Wu. He, Chang, W., Chou, Y. 2012. Vehicle-to-Vehicle Communication System through wi-fi Network using Android Smartphone, International Conference on Connected Vehicles and Expo, 191-196.
  • Tuncay, R.N., Üstün, Ö. 2004. Otomotiv Elektroniğindeki Gelişmeler. http://www.emo.org.tr/ekler/eee9fe5195586bf_ek.pdf (Erişim Tarihi: 15.12.2014).
  • Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G. 2012. SMaRTCaR: An Integrated Smartphone-based Platform to Support Traffic Management Applications, First International Vehicular Traffic Management for Smart Cities (VTM), 20 Kasım, Dublin, 1-6.
  • Sourav, H., Ali, M., Mary, G.I. 2013. Ethernet in Embedded Automotive Electronics for OBD II Diagnostics, International Journal of Applied Engineering Research, , 8(19), 2417-2421.
  • Lin, C., Shiao, Y., Li, C., Yang, S., Shun-Hua Lin, S., Lin C. 2007. Real-Time Remote Onboard Diagnostics Using Embedded GPRS Surveillance Technology, IEEE Transactions on Vehicular Technology, 56(3), 1108-1118.
  • James, M.A., WisnieWski, J.A., Samson, L.D. 2014. Onboard Diagnostic(OBD) Device System and Method, Patent Application Publication, Frıas Transportation Infrustructure LLC, Las Vegas.
  • Niazi, M.A.K., Nayyar, A., Raza, A., Awan, A.U., Ali, M.H., Rashid, N., Iqbal, J. 2013. Development of an On-board Diagnostic (OBD) Kit for Troubleshooting of Compliant Vehicles, 9th International Conference on Emerging Technologies (ICET), 9-10 Aralık, Islambad, 1-4.
  • Alvear, O., Calafate, C., Cano, J., Manzoni, P. 2014. VEWE: A Vehicle ECU Wireless Emulation Tool Supporting OBD-II Communication and Geopositioning”, Springer International Publishing Switserland ADHOC-NOW LNCS 8487, 432-445.
  • Briante, O., Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G., Booysen, M.J. 2013. ItsPhone: An Integrated Platform for Participatory ITS Data Collection and Opportunistic Transfer, IEEE Infocom Conference, 14-19 Nisan, İtalya, 37-38.
  • S-Kote, T., Miljkovic, L., Jayaraman, R., Palmer, D.T. 2013. Low Cost Automotive Accident Alert System, Patent Application Publication, Automatic Labs INC, San Francisco.
  • Rao K.C., Panem, C.A., 2014. Accident Detection in Vehicular Networks Using Android-based Smartphones, International Journal of Scientific Research in Computer Science (IJSRCS), 2(1), 24-26.
  • Fukushima, M. 2011. The latest trend of v2x driver assistance systems in Japan, Elsevier Computer Networks, 55, 3134–3141.
  • Kim, M., Lee, J., Jang, J. 2014. Implementation of the Android –Based Automotive Infotainment System for Supporting Drivers’ Safe Driving, Ubiquitous Information Technologies and Applications, Springer, 280, 501-508.
  • Kim, M., Jang, J. 2013. Implementation of Vehicle Remote Status Verification System Using Driving Information, Future Information Communication Technology and Applications, Springer, 235, 997-1006.
  • Lundsgaard, S.K., Hefferan, J., Lundsgaard, N. 2014. Smartphone Based System for Vehicle Monitoring Security, Patent Application Publication, 1-20.
  • Picone, M.,Amoretti, M., Zanichelli, F. 2012. A Decentralized Smartphone Based Traffic Information System, Intelligent Vehicles Symposium (IV), 3-7 Haziran, İspanya, 523-528.
  • Fabritiis, C., Ragona, R., Valenti, G. 2008. Traffic Estimation And Prediction Based On Real Time Floating Car Data, Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems Beijing, 12-15 Eylül, Çin,197-203.
  • Li, Q., Zhang, T., Wang, H., Zeng, Z. 2011 Dynamic Accessibility Mapping using Floating Car Data: a Network-constrained Density Estimation Approach, Journal of Transport Geography, Elsevier, 19(3), 379–393.
  • Santa, J., Go ́mez-Skarmeta, A.F., Sanchez-Artigas, M. 2008. Architecture and Evaluation of A Unified V2V and V2I Communication System Based on Cellular Networks, X Computer Communications, Elsevier, 31(12), 2850–2861
  • Chuang, Y., Yi, C., Lu, Y., Tsai, P. 2013. iTraffic: A Smartphone-based Traffic Information System, 42nd International Conference on Parallel Processing, 1-4 Eylül, Lyon, 917-922.
  • Bayindir K.Ç., Gözüküçük, M.A., Teke A. 2011. A Comprehensive Overview of Hybrid Electric Vehicle: Powertrain Configurations, Powertrain Control Techniques and Electronic Control Units, Energy Conversion and Management, Elsevier, 52(2), 1305–1313
  • Ruta, M. Scioscia, F. Gramegna, F. Sciascio, E. 2010. A Mobile Knowledge-based System for On-Board Diagnostics and Car Driving Assistance, The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM), 20-30 Eylül, İtalya, 91-96.

Mobil Cihaz Temelli Araç Hız Uyarı Sistemi

Yıl 2016, , 8 - 15, 15.04.2016
https://doi.org/10.19113/sdufbed.00518

Öz

Artan araç sayısının neden olduğu trafik yoğunluğu sürücülerin güvenli bir ulaşım sağlaması için daha dikkatli olmasını gerektirmiştir. Gelişen teknoloji içerisinde mobil cihazlar özellikle görüntüleme ve kablosuz haberleşme yetenekleri ile akıllı trafik uygulamalarında kullanılmaya başlanmıştır. Örneğin, karayolu ulaşımında trafik akışının sağlanması, sürücülerin olası kazalara karşı yol, trafik ve çevre hakkında önceden bilgilendirilmesi, araç hakkında bilgilerin paylaşılması gibi uygulamalar yer almaktadır. Bu çalışmada, iPhone ile bir aracın network bilgisine erişim sağlanarak, sürücüyü bilgilendirme ve uyarma amaçlı bir uygulama geliştirilmiştir. Araçlarda kullanılan veri yollarından biri olan CAN (Controller Area Network) veri yolu üzerinden ELM327 cihazı ile hız verileri alınarak mobil bir uygulama üzerinde izlenmiştir. iPhone ile araç veri trafiğine erişim sağlamak için wi-fi teknoloji ile desteklenen diagnostik cihazı  seçilmiştir. Ayrıca mobil cihaz üzerinde  yer alan GPS (Global Positioning System) sensörü ile konum verileri uygulamada sürücü bilgilendirme amaçlı kullanılmıştır. Karayollarında hız sınırı gerektiren durumlarda seçilen değerin aşılması ile sürücünün uyarılması sağlanmıştır. Trafikte araçların anlık değişken verilerinin paylaşıma açık olması ile Trafik Yönetim ve Denetim (TMS-Traffic Management System) sistemlerine katkı sağlayacağı öngörülmüştür.

Kaynakça

  • Su, K., Wu. He, Chang, W., Chou, Y. 2012. Vehicle-to-Vehicle Communication System through wi-fi Network using Android Smartphone, International Conference on Connected Vehicles and Expo, 191-196.
  • Tuncay, R.N., Üstün, Ö. 2004. Otomotiv Elektroniğindeki Gelişmeler. http://www.emo.org.tr/ekler/eee9fe5195586bf_ek.pdf (Erişim Tarihi: 15.12.2014).
  • Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G. 2012. SMaRTCaR: An Integrated Smartphone-based Platform to Support Traffic Management Applications, First International Vehicular Traffic Management for Smart Cities (VTM), 20 Kasım, Dublin, 1-6.
  • Sourav, H., Ali, M., Mary, G.I. 2013. Ethernet in Embedded Automotive Electronics for OBD II Diagnostics, International Journal of Applied Engineering Research, , 8(19), 2417-2421.
  • Lin, C., Shiao, Y., Li, C., Yang, S., Shun-Hua Lin, S., Lin C. 2007. Real-Time Remote Onboard Diagnostics Using Embedded GPRS Surveillance Technology, IEEE Transactions on Vehicular Technology, 56(3), 1108-1118.
  • James, M.A., WisnieWski, J.A., Samson, L.D. 2014. Onboard Diagnostic(OBD) Device System and Method, Patent Application Publication, Frıas Transportation Infrustructure LLC, Las Vegas.
  • Niazi, M.A.K., Nayyar, A., Raza, A., Awan, A.U., Ali, M.H., Rashid, N., Iqbal, J. 2013. Development of an On-board Diagnostic (OBD) Kit for Troubleshooting of Compliant Vehicles, 9th International Conference on Emerging Technologies (ICET), 9-10 Aralık, Islambad, 1-4.
  • Alvear, O., Calafate, C., Cano, J., Manzoni, P. 2014. VEWE: A Vehicle ECU Wireless Emulation Tool Supporting OBD-II Communication and Geopositioning”, Springer International Publishing Switserland ADHOC-NOW LNCS 8487, 432-445.
  • Briante, O., Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G., Booysen, M.J. 2013. ItsPhone: An Integrated Platform for Participatory ITS Data Collection and Opportunistic Transfer, IEEE Infocom Conference, 14-19 Nisan, İtalya, 37-38.
  • S-Kote, T., Miljkovic, L., Jayaraman, R., Palmer, D.T. 2013. Low Cost Automotive Accident Alert System, Patent Application Publication, Automatic Labs INC, San Francisco.
  • Rao K.C., Panem, C.A., 2014. Accident Detection in Vehicular Networks Using Android-based Smartphones, International Journal of Scientific Research in Computer Science (IJSRCS), 2(1), 24-26.
  • Fukushima, M. 2011. The latest trend of v2x driver assistance systems in Japan, Elsevier Computer Networks, 55, 3134–3141.
  • Kim, M., Lee, J., Jang, J. 2014. Implementation of the Android –Based Automotive Infotainment System for Supporting Drivers’ Safe Driving, Ubiquitous Information Technologies and Applications, Springer, 280, 501-508.
  • Kim, M., Jang, J. 2013. Implementation of Vehicle Remote Status Verification System Using Driving Information, Future Information Communication Technology and Applications, Springer, 235, 997-1006.
  • Lundsgaard, S.K., Hefferan, J., Lundsgaard, N. 2014. Smartphone Based System for Vehicle Monitoring Security, Patent Application Publication, 1-20.
  • Picone, M.,Amoretti, M., Zanichelli, F. 2012. A Decentralized Smartphone Based Traffic Information System, Intelligent Vehicles Symposium (IV), 3-7 Haziran, İspanya, 523-528.
  • Fabritiis, C., Ragona, R., Valenti, G. 2008. Traffic Estimation And Prediction Based On Real Time Floating Car Data, Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems Beijing, 12-15 Eylül, Çin,197-203.
  • Li, Q., Zhang, T., Wang, H., Zeng, Z. 2011 Dynamic Accessibility Mapping using Floating Car Data: a Network-constrained Density Estimation Approach, Journal of Transport Geography, Elsevier, 19(3), 379–393.
  • Santa, J., Go ́mez-Skarmeta, A.F., Sanchez-Artigas, M. 2008. Architecture and Evaluation of A Unified V2V and V2I Communication System Based on Cellular Networks, X Computer Communications, Elsevier, 31(12), 2850–2861
  • Chuang, Y., Yi, C., Lu, Y., Tsai, P. 2013. iTraffic: A Smartphone-based Traffic Information System, 42nd International Conference on Parallel Processing, 1-4 Eylül, Lyon, 917-922.
  • Bayindir K.Ç., Gözüküçük, M.A., Teke A. 2011. A Comprehensive Overview of Hybrid Electric Vehicle: Powertrain Configurations, Powertrain Control Techniques and Electronic Control Units, Energy Conversion and Management, Elsevier, 52(2), 1305–1313
  • Ruta, M. Scioscia, F. Gramegna, F. Sciascio, E. 2010. A Mobile Knowledge-based System for On-Board Diagnostics and Car Driving Assistance, The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM), 20-30 Eylül, İtalya, 91-96.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Gül Fatma Türker Bu kişi benim

Akif Kutlu Bu kişi benim

Yayımlanma Tarihi 15 Nisan 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

APA Türker, G. F., & Kutlu, A. (2016). Mobil Cihaz Temelli Araç Hız Uyarı Sistemi. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 20(1), 8-15. https://doi.org/10.19113/sdufbed.00518
AMA Türker GF, Kutlu A. Mobil Cihaz Temelli Araç Hız Uyarı Sistemi. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. Nisan 2016;20(1):8-15. doi:10.19113/sdufbed.00518
Chicago Türker, Gül Fatma, ve Akif Kutlu. “Mobil Cihaz Temelli Araç Hız Uyarı Sistemi”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20, sy. 1 (Nisan 2016): 8-15. https://doi.org/10.19113/sdufbed.00518.
EndNote Türker GF, Kutlu A (01 Nisan 2016) Mobil Cihaz Temelli Araç Hız Uyarı Sistemi. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 1 8–15.
IEEE G. F. Türker ve A. Kutlu, “Mobil Cihaz Temelli Araç Hız Uyarı Sistemi”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 20, sy. 1, ss. 8–15, 2016, doi: 10.19113/sdufbed.00518.
ISNAD Türker, Gül Fatma - Kutlu, Akif. “Mobil Cihaz Temelli Araç Hız Uyarı Sistemi”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20/1 (Nisan 2016), 8-15. https://doi.org/10.19113/sdufbed.00518.
JAMA Türker GF, Kutlu A. Mobil Cihaz Temelli Araç Hız Uyarı Sistemi. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2016;20:8–15.
MLA Türker, Gül Fatma ve Akif Kutlu. “Mobil Cihaz Temelli Araç Hız Uyarı Sistemi”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 20, sy. 1, 2016, ss. 8-15, doi:10.19113/sdufbed.00518.
Vancouver Türker GF, Kutlu A. Mobil Cihaz Temelli Araç Hız Uyarı Sistemi. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2016;20(1):8-15.

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