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Tytuł artykułu

Vehicle automation and car-following models for accident avoidance

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Model autonomicznego pojazdu wyposażonego w układy unikania wypadku
Języki publikacji
EN
Abstrakty
EN
Road accidents contribute to the greatest number of deaths in the world. Deaths and injuries due to road accidents result in financial losses as well as physical and mental suffering. Even though a good driver is attentive enough to take sudden decisions, at some point, there is a requirement for an automatic decision-making ability in the car. Cars that can take prompt actions based on the environment without the driver involved is called a smart car. The car-following models are methods used in smart cars for accident avoidance. This paper presents an in-depth survey of various car following models based on IoT sensors, weather & road conditions, V2V networks, machine learning algorithms. A comparative analysis of multiple research articles with its techniques, merits and research gap is presented. Finally, the inference of the literature survey is provided.
PL
W artykule zaprezentowano analizę autonomicznego pojazdu wyposażonego w szereg czujników, połączenie sieciowego I metody uczenia. Przedstawiono przegląd literatury na ten temat.
Rocznik
Strony
118--123
Opis fizyczny
Bibliogr. 36 poz., rys., tab.
Twórcy
  • Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
autor
  • Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
  • Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
autor
  • Faculty of Computer Science and Engineering, Thuyloi University, Hanoi, Vietnam
Bibliografia
  • [1] M. Chui, M. Löffler, and R. Roberts, “The internet of things," McKinsey Q., vol. 2, no. 2010, pp. 1-9, 2010.
  • [2] S. Tsugawa, T. Yatabe, T. Hirose, and S. Matsumoto, “An automobile with artificial intelligence," in Proceedings of the 6th international joint conference on Artificial intelligence-Volume 2, 1979, pp. 893-895.
  • [3] P. G. Gipps, “A behavioural car-following model for computer simulation," Transp. Res. Part B Methodol., vol. 15, no. 2, pp. 105-111, Apr. 1981.
  • [4] V. Nyamati, T. Chaudhuri, and K. Jayavel, “Intelligent collision avoidance and safety warning system for car driving," Proc. 2017 Int. Conf. Intell. Comput. Control Syst. ICICCS 2017, vol. 2018-Janua, pp. 791-796, 2018.
  • [5] D. Singh and M. Singh, “Internet of vehicles for smart and safe driving," 2015 Int. Conf. Connect. Veh. Expo, ICCVE 2015 - Proc., pp. 328-329, 2016.
  • [6] Andrew J and Karthikeyan J, “Privacy-Preserving Internet of Things: Techniques and Applications," Int. J. Eng. Adv. Technol., vol. 8, no. 6, pp. 3229-3234, 2019.
  • [7] S. S. Sarikan and A. M. Ozbayoglu, “Anomaly detection in vehicle traffic with image processing and machine learning," Procedia Comput. Sci., vol. 140, pp. 64-69, 2018.
  • [8] O. A. Hjelkrem and E. O. Ryeng, “Chosen risk level during carfollowing in adverse weather conditions," Accid. Anal. Prev., vol. 95, pp. 227-235, 2016.
  • [9] O. A. Hjelkrem and E. O. Ryeng, “Driver behaviour data linked with vehicle, weather, road surface, and daylight data," Data Br., vol. 10, pp. 511-514, 2017.
  • [10] D. Xu, H. Zhao, F. Guillemard, S. Geronimi, and F. Aioun, “Aware of scene vehicles - Probabilistic modeling of carfollowing behaviors in real-world traffic," IEEE Trans. Intell. Transp. Syst., vol. 20, no. 6, pp. 2136-2148, 2019.
  • [11] I. Galanis, P. Gurunathan, D. Burkard, and I. Anagnostopoulos, “Weather-based road condition estimation in the era of Internetof- Vehicles (IoV)," Proc. - IEEE Int. Symp. Circuits Syst., vol. 2018-May, no. 10 V, 2018.
  • [12] K. C. Dey, A. Rayamajhi, M. Chowdhury, P. Bhavsar, and J. Martin, “Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network - Performance evaluation," Transp. Res. Part C Emerg. Technol., vol. 68, pp. 168-184, 2016.
  • [13] A. Fitah, A. Badria, M. Moughit, and A. Sahel, “Performance of DSRC and WIFI for intelligent transport systems in VANET," Procedia Comput. Sci., vol. 127, pp. 360-368, 2018.
  • [14] M. El-Said, S. Mansour, and V. Bhuse, “DSRC based sensorpooling protocol for connected vehicles in future smart cities," Procedia Comput. Sci., vol. 140, pp. 70-78, 2018.
  • [15] C. Bergenhem, E. Hedin, and D. Skarin, “Vehicle-to-Vehicle Communication for a Platooning System," Procedia - Soc. Behav. Sci., vol. 48, pp. 1222-1233, 2012.
  • [16] W. Balzano, A. Murano, and F. Vitale, “V2V-EN - Vehicle-2- Vehicle Elastic Network," Procedia Comput. Sci., vol. 58, pp. 497-502, 2016.
  • [17] C. M. Huang, M. S. Chiang, D. T. Dao, H. M. Pai, S. Xu, and H. Zhou, “Vehicle-to-Infrastructure (V2I) offloading from cellular network to 802.11p Wi-Fi network based on the Software- Defined Network (SDN) architecture," Veh. Commun., vol. 9, pp. 288-300, 2017.
  • [18] M. Tao, W. Wei, and S. Huang, “Location-based trustworthy services recommendation in cooperative-communicationenabled Internet of Vehicles," J. Netw. Comput. Appl., vol. 126, no. June 2018, pp. 1-11, 2019.
  • [19] M. Chen, Y. Tian, G. Fortino, J. Zhang, and I. Humar, “Cognitive Internet of Vehicles," Comput. Commun., vol. 120, no. February, pp. 58-70, 2018.
  • [20] A. Bujari, C. E. Palazzi, and A. Vitella, “Broadcasting Messages in the Internet of Vehicles," IEEE Int. Symp. Pers. Indoor Mob. Radio Commun. PIMRC, vol. 2018-Septe, pp. 58-62, 2018.
  • [21] T. A. Butt, R. Iqbal, S. C. Shah, and T. Umar, “Social Internet of Vehicles: Architecture and enabling technologies," Comput. Electr. Eng., vol. 69, no. December 2017, pp. 68-84, 2018.
  • [22] M. N. O. Sadiku, M. Tembely, and S. M. Musa, “Internet of Vehicles: an Introduction," Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 8, no. 1, p. 11, 2018.
  • [23] M. Muhammad and G. A. Safdar, “Survey on existing authentication issues for cellular-assisted V2X communication," Veh. Commun., vol. 12, pp. 50-65, 2018.
  • [24] K. Raghava Rao, K. Sai Sasi Preetham, K. Edukondalu, and L. V. Ragavendra Reddy, “Connecting vehicles using Li-Fi technology for reducing accidents," Int. J. Eng. Technol., vol. 7, no. 2, pp. 104-107, 2018.
  • [25] H. S. M, A. H, and M. M. Jaishree, “Vehicle To Vehicle Communication Using Li-Fi Technology," Ijarcce, vol. 8, no. 2, pp. 125-129, 2019.
  • [26] S. Eckelmann, T. Trautmann, H. Ußler, B. Reichelt, and O. Michler, “V2V-Communication, LiDAR System and Positioning Sensors for Future Fusion Algorithms in Connected Vehicles," Transp. Res. Procedia, vol. 27, pp. 69-76, 2017.
  • [27] H. Dai and C. MacBeth, “Effects of Learning Parameters on Learning Procedure and Performance of a BPNN," Neural Networks, vol. 10, no. 8, pp. 1505-1521, Nov. 1997.
  • [28] A. Liaw, M. Wiener, and others, “Classification and regression by randomForest," R news, vol. 2, no. 3, pp. 18-22, 2002.
  • [29] C. Chen, H. Xiang, T. Qiu, C. Wang, Y. Zhou, and V. Chang, “A rear-end collision prediction scheme based on deep learning in the Internet of Vehicles," J. Parallel Distrib. Comput., vol. 117, pp. 192-204, 2018.
  • [30] D. Yang, L. Zhu, Y. Liu, D. Wu, and B. Ran, “A Novel Car- Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles," IEEE Trans. Intell. Transp. Syst., vol. 20, no. 6, pp. 1991-2000, 2019.
  • [31] Y. Guo, Q. Sun, R. Fu, and C. Wang, “Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle from Naturalistic Driving Data," IEEE Access, vol. 7, pp. 44258-44268, 2019.
  • [32] M. Ateeq Alanezi, “A proposed System for Vehicle-to-Vehicle Communication: Low Cost and Network Free Approach," Indian J. Sci. Technol., vol. 11, no. 12, pp. 1-10, 2018.
  • [33] D. Bhuva, K. Sathashivan, A. Patil, and S. Singh, “Smart Car Systems: A need in smart city," 2018 Int. Conf. Smart City Emerg. Technol. ICSCET 2018, pp. 1-3, 2018.
  • [34] M. Karaduman and H. Eren, “Smart driving in smart city," ICSG 2017 - 5th Int. Istanbul Smart Grids Cities Congr. Fair, pp. 115- 119, 2017.
  • [35] Y. Q. Zhao, H. Q. Li, F. Lin, J. Wang, and X. W. Ji, “Estimation of Road Friction Coefficient in Different Road Conditions Based on Vehicle Braking Dynamics," Chinese J. Mech. Eng. (English Ed., vol. 30, no. 4, pp. 982-990, 2017.
  • [36] S. K. Singh, “Road Traffic Accidents in India: Issues and Challenges," Transp. Res. Procedia, vol. 25, pp. 4708-4719, 2017.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ba594ab-11e8-4ffe-a429-886ef0389d66
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