Vehicular Communications for Road Safety Applications

Yıl 2021, , 189 - 209, 31.12.2021

Can Bıyık

https://doi.org/10.53600/ajesa.988764

Öz

Computer system frameworks are more modern, similar to vehicles, taking into account that they have PC sensors and are committed to a piece of the vehicle's activity. There is a framework that is cooperative to guarantee an answer that may redesign the security in rush hour gridlock. Correspondences in vehicles are a crisis of the IT innovation that incorporates the vehicle to vehicle, vehicle to framework, vehicle to person on foot correspondence, and the vehicle to everything. Regularly, these vehicles' clients have a hefty dependence on the seat straps and airbags to defend them from any dangers during a mishap. They are like a security net that would defend the gymnastic performers in a bazaar show. The advanced methodology goes past the security nets methodologically, and we ought to battle that the vehicular correspondence networks are not there yet. On the off chance that they are probably going to be available, no trial capacity ought to be finished. There is a conviction of conceivable value of the savvy vehicle coordination that could be higher. The exhibition gauge might be secure further assessment. The innovative work and mechanical consolidation of vehicular correspondence advancements will guarantee a coordinated car innovation. The mix of vehicles' data benefits, their security, and their financial presentation will add to a wise metropolitan transportation structure.

Anahtar Kelimeler

Computer system, vehicles, IT innovation, security

Yol Güvenliği Uygulamaları için Araç İletişimi

Öz

Bilgisayar sistemleri, bilgisayar sensörlerine sahip oldukları ve arabanın çalışmasının bir parçasına adanmış oldukları düşünüldüğünde, arabalar gibi daha karmaşıktır. Trafikte güvenliği artırabilecek bir çözüm vaat etmek için işbirlikçi bir sistem var. Araçlardaki iletişim, araçtan araca, araçtan altyapıya, araçtan yaya iletişimine ve araçtan her şeye dahil olan BT teknolojisinin acil durumudur. Tipik olarak, bu arabaların kullanıcıları, bir kaza sırasında herhangi bir tehlikeden korunmak için emniyet kemerlerine ve hava yastıklarına büyük güven duyarlar. Bir sirk gösterisinde akrobatları koruyacak bir güvenlik ağına benziyorlar. Modern yaklaşım, metodolojik olarak güvenlik ağlarının ötesine geçiyor ve araç iletişim ağlarının henüz orada olmadığını iddia etmeliyiz. Mevcut olmaları muhtemel ise, deney yeteneği yapılmamalıdır. Akıllı araç koordinasyonunun daha yüksek olabileceğine dair bir inanç var. Performans tahmini, daha fazla inceleme için güvenli olabilir. Araç iletişim teknolojilerinin araştırılması ve geliştirilmesi ve endüstriyel olarak dahil edilmesi, entegre bir otomotiv teknolojisi sağlayacaktır. Araçların bilgi hizmetlerinin entegrasyonu, güvenlikleri ve ekonomik performansları, akıllı bir kentsel ulaşım çerçevesine katkıda bulunacaktır.

Anahtar Kelimeler

Bilgisayar sistemi, araçlar, BT yeniliği, güvenlik

Kaynakça

• Abbas, F., G. Liu, P. Fan, and Z. Khan. 2020. ‘‘An Efficient Cluster Based Resource Management Scheme and Its Performance Analysis for V2X Networks’’, IEEE Access, Volume 8, pp. 87071-87082.
• Al-Turjman, F., and J.P. Lemayian. 2020. ‘‘Intelligence, security, and vehicular sensor networks in internet of things (IoT)-enabled smart-cities: An overview’’, Computers & Electrical Engineering, Volume 87, pp. 106776.
• Alves, R.C., D.A. Oliveira, G.A.N. Segura, and C.B. Margi. 2019. ‘‘The cost of software-defining things: A scalability study of software-defined sensor networks’’, IEEE Access, Volume 7, pp. 115093-115108.
• Amadeo, M., C. Campolo, and A. Molinaro. 2016. ‘‘Information-centric networking for connected vehicles: a survey and future perspectives’’, IEEE Communications Magazine, Volume 54, No 2, pp. 98- 104.
• Arena, F., and G. Pau. 2019. ‘‘An overview of vehicular communications’’, Future Internet, Volume 11, No 2, pp. 27.
• Arif, M., G. Wang, M.Z.A. Bhuiyan, T. Wang, and J. Chen. 2019. ‘‘A survey on security attacks in VANETs: Communication, applications and challenges’’, Vehicular Communications, Volume 19, pp. 100179.
• Arif, M., G. Wang, O. Geman, V.E. Balas, P. Tao, A. Brezulianu, and J. Chen. 2020. ‘‘Sdn-based vanets, security attacks, applications, and challenges’’, Applied Sciences, Volume 10, No 9, pp. 3217.
• Basir, R., S. Qaisar, M. Ali, M. Aldwairi, M.I. Ashraf, A. Mahmood, and M. Gidlund. 2019. ‘‘Fog computing enabling industrial internet of things: State-of-the-art and research challenges’’. Sensors, Volume 19, No 21, pp. 4807.
• Braga, D.D.S., M. Niemann, B. Hellingrath, and F.B.D.L. Neto. 2018. ‘‘Survey on computational trust and reputation models’’, ACM Computing Surveys (CSUR), Volume 51, No 5, pp. 1-40.
• Casadei, R., G. Fortino, D. Pianini, W. Russo, C. Savaglio, and M. Viroli. 2019. ‘‘Modelling and simulation of opportunistic IoT services with aggregate computing’’, Future Generation Computer Systems, Volume 91, pp. 252-262.
• Cheng, J., J. Cheng, M. Zhou, F. Liu, S. Gao, and C. Liu. 2015. ‘‘Routing in internet of vehicles: A review’’, IEEE Transactions on Intelligent Transportation Systems, Volume 16, No 5, pp. 2339-2352.
• Chowdhury, M., M. Rahman, A. Rayamajhi, S.M. Khan, M. Islam, Z. Khan, and J. Martin. 2018. ‘‘Lessons learned from the real-world deployment of a connected vehicle testbed’’, Transportation Research Record, Volume 2672, No 22, pp. 10-23.
• Chowdhury, M., M. Rahman, A. Rayamajhi, S.M. Khan, M. Islam, Z. Khan, and J. Martin. 2018. ‘‘Lessons learned from the real-world deployment of a connected vehicle testbed’’, Transportation Research Record, Volume 2672, No 22, pp. 10-23.
• Dabiri, S., N. Marković, K. Heaslip, and C.K. Reddy. 2020. ‘‘A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data’’, Transportation Research Part C: Emerging Technologies, Volume 116, pp. 102644.
• Dasanayaka, N., K.F. Hasan, C. Wang, and Y. Feng., 2020. ‘‘Enhancing Vulnerable Road User Safety: A Survey of Existing Practices and Consideration for Using Mobile Devices for V2X Connections’’, arXiv preprint arXiv:2010, pp..15502.
• Dey, K.C., A. Rayamajhi, M. Chowdhury, P. Bhavsar, and J. Martin. 2016. ‘‘Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation’’, Transportation Research Part C: Emerging Technologies, Volume 68, pp. 168-184.
• Djahel, S., R. Doolan, G.M. Muntean, and J. Murphy. 2014. ‘‘A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches’’, IEEE Communications Surveys & Tutorials, Volume 17, No 1, pp. 125-151.
• Dominguez, X., P. Mantilla-Perez, and P. Arboleya. 2020., ‘‘Toward Smart Vehicular dc Networks in the Automotive Industry: Process, computational tools, and trends in the design and simulation of vehicle electrical distribution systems’’. IEEE Electrification Magazine, Volume 8, No 1, pp. 61-68.
• Du, R., P. Santi, M. Xiao, A.V. Vasilakos, and C. Fischione. 2018. ‘‘The sensable city: A survey on the deployment and management for smart city monitoring’’, IEEE Communications Surveys & Tutorials, Volume 21, No 2, pp. 1533-1560.
• Duggal, G., S.S. Ram, and K.V. Mishra. 2019. ‘‘Micro-Doppler and micro-range detection via Dopplerresilient 802.11 ad-based vehicle-to-pedestrian radar’’. In 2019 IEEE Radar Conference (RadarConf), pp. 1-6.
• Dutta, A.K., M. Elhoseny, V. Dahiya, and K. Shankar. 2020. ‘‘An efficient hierarchical clustering protocol for multihop Internet of vehicles communication’’, Transactions on Emerging Telecommunications Technologies, Volume 31, No 5, pp 3690.
• Elagin, V., A. Spirkina, M. Buinevich, and A. Vladyko. 2020. ‘‘Technological aspects of blockchain application for vehicle-to-network’’. Information, Volume 11, No 10, pp. 465.
• Gao, H., C. Liu, Y. Li, and X. Yang. 2020. ‘‘V2VR: reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability’’, IEEE Transactions on Intelligent Transportation Systems.
• Gao, H., C. Liu, Y. Li, and X. Yang. 2020. ‘‘V2VR: reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability’’. IEEE Transactions on Intelligent Transportation Systems.
• Gupta, M., M. Abdelsalam, and S. Mittal. 2020. ‘‘Enabling and enforcing social distancing measures using smart city and its infrastructures: a COVID-19 Use case’’ arXiv preprint arXiv:2004, pp. 09246.
• Gupta, R., S. Tanwar, S. Tyagi, and N. Kumar. 2020. ‘‘Machine learning models for secure data analytics: A taxonomy and threat model’’, Computer Communications, Volume 153, pp. 406-440.
• Jang, J., J. Ko, J. Park, C. Oh, and S. Kim. 2020. ‘‘Identification of safety benefits by inter-vehicle crash risk analysis using connected vehicle systems data on Korean freeways’’, Accident Analysis & Prevention, Volume 144, pp. 105675.
• Jeon, W., and R. Rajamani. 2017. ‘‘Rear vehicle tracking on a bicycle using active sensor orientation control’’, IEEE Transactions on Intelligent Transportation Systems, Volume 19, No 8, pp. 2638-2649.
• Jones, S. 2013. ‘‘Cooperative adaptive cruise control: Human factors analysis (No. FHWA-HRT045-13-). United States’’, Federal Highway Administration. Office of Safety Research and Development.
• Khalifa, A.B., I. Alouani, M.A. Mahjoub, and A. Rivenq. 2020. ‘‘A novel multi-view pedestrian detection database for collaborative Intelligent Transportation Systems’’, Future Generation Computer Systems, Volume 113, pp. 506-527.
• Ko, W., and D.E. Chang. 2018. ‘‘Cooperative adaptive cruise control using turn signal for smooth and safe cut-in’’, In 2018 18th International Conference on Control, Automation and Systems (ICCAS), IEEE, pp. 807-812.
• Kornaros, G., O. Tomoutzoglou, D. Mbakoyiannis, N. Karadimitriou, M. Coppola, E. Montanari, and G. Gherardi., 2020. ‘‘Towards holistic secure networking in connected vehicles through securing CANbus communication and firmware-over-the-air updating’’, Journal of Systems Architecture, Volume 109, pp. 101761.
• Kusmanoff, A.M., F. Fidler, A. Gordon, G.E. Garrard, and S.A. Bekessy. 2020. ‘‘Five lessons to guide more effective biodiversity conservation message framing’’, Conservation Biology, Volume 34, No 5, pp. 1131-1141.
• Lee, J.H., and I.B. Jung. 2010. ‘‘Adaptive compression based congestion control technique for wireless sensor networks’’, Sensors, Volume 10, No 4, pp. 2919-2945.
• Lee, M., and T. Atkison. 2020. ‘‘VANET applications: Past, present, and future’’, Vehicular Communications, pp. 100310.
• Leiman, T. 2020. ‘‘Law and tech collide: foreseeability, reasonableness and advanced driver assistance systems’’, Policy and Society, pp. 1-22.
• Lemann, A.B. 2019. ‘‘Autonomous vehicles, technological progress, and the scope problem in products liability’’, Journal of tort law, Volume 12, No 2, pp. 157-212.
• Limbasiya, T., and D. Das. 2019. ‘‘Lightweight secure message broadcasting protocol for vehicle-tovehicle communication’’. IEEE Systems Journal, Volume 14, No 1, pp. 520-529.
• Lord, S., M.S. Cloutier, B. Garnier, and Z. Christoforou. 2018. ‘‘Crossing road intersections in old age— With or without risks? Perceptions of risk and crossing behaviours among the elderly’’, Transportation research part F: traffic psychology and behaviour, Volume 55, pp. 282-296.
• Martínez-Díaz, M., F. Soriguera, and I. Pérez. 2019. ‘‘Autonomous driving: a bird’s eye view’’. IET Intelligent Transport Systems, Volume 13, No 4, pp. 563-579.
• Mei, J., K. Zheng, L. Zhao, L. Lei, and X. Wang. 2018. ‘‘Joint radio resource allocation and control for vehicle platooning in LTE-V2V network’’, IEEE Transactions on Vehicular Technology, Volume 67, No 12, pp. 12218-12230.
• Mirchandani, P., and L. Head. 2001. ‘‘A real-time traffic signal control system: architecture, algorithms, and analysis’’, Transportation Research Part C: Emerging Technologies, Volume 9, No 6, pp. 415-432.
• Obaidat, M., M. Khodjaeva, J. Holst, and M.B. Zid. 2020. ‘‘Security and privacy challenges in vehicular ad hoc networks. In Connected Vehicles in the Internet of Things’’, Springer, Cham, pp. 223-251.
• Peng, L., W. Feng, Z. Yan, Y. Li, X. Zhou, and S. Shimizu. 2020. ‘‘Privacy preservation in permissionless blockchain: A survey’’, Digital Communications and Networks.
• Poursheikhali, S., and H. Zamiri-Jafarian. 2021. ‘‘Source Localization in Inhomogeneous Underwater Medium Using Sensor Arrays: Received Signal Strength Approach’’, Signal Processing, pp. 108047.
• Putnam, D., M. Kovacova, K. Valaskova, and V. Stehel. 2019. ‘‘The algorithmic governance of smart mobility: Regulatory mechanisms for driverless vehicle technologies and networked automated transport systems’’, Contemporary Readings in Law and Social Justice, Volume 11, No 1, pp. 21-26.
• Qiao, G., S. Leng, S. Maharjan, Y. Zhang, and N. Ansari. 2019. ‘‘Deep reinforcement learning for cooperative content caching in vehicular edge computing and networks’’, IEEE Internet of Things Journal, Volume 7, No 1, pp. 247-257.
• Qureshi, K.N., A.H. Abdullah, O. Kaiwartya, S. Iqbal, R.A. Butt, and F. Bashir. 2018. ‘‘A Dynamic Congestion Control Scheme for safety applications in vehicular ad hoc networks’’, Computers & Electrical Engineering, Volume 72, pp. 774-788.
• Roopa, M.S., S. Pattar, R. Buyya, K.R. Venugopal, S.S. Iyengar, and L.M. Patnaik. 2019. ‘‘Social Internet of Things (SIoT): Foundations, thrust areas, systematic review and future directions’’, Computer Communications, Volume 139, pp. 32-57.
• Shladover, S.E., C. Nowakowski, and X.Y. Lu. 2018. ‘‘Using cooperative adaptive cruise control (CACC) to form high-performance vehicle streams. Definitions, literature review and operational concept alternatives’’.
• Sichitiu, M.L., and M. Kihl. 2008. Inter-vehicle communication systems: a survey. IEEE Communications Surveys & Tutorials, Volume 10, No 2, pp. 88-105.
• Singh, P.K., S.K. Nandi, and S. Nandi. 2019. ‘‘A tutorial survey on vehicular communication state of the art, and future research directions’’, Vehicular Communications, Volume 18, pp. 100164.
• Stankovic, J.A., T.E. Abdelzaher, C. Lu, L. Sha, and J.C. Hou. 2003. ‘‘Real-time communication and coordination in embedded sensor networks’’, Proceedings of the IEEE, Volume 91, No 7, pp. 1002-1022.
• Sujon, M., and F. Dai. 2021. ‘‘Social Media Mining for Understanding Traffic Safety Culture in Washington State Using Twitter Data’’, Journal of Computing in Civil Engineering, Volume 35, No 1, pp. 04020059.
• Sun, M., M. Li, and R. Gerdes. 2017. ‘‘A data trust framework for VANETs enabling false data detection and secure vehicle tracking’’, In 2017 IEEE Conference on Communications and Network Security (CNS), pp. 1-9.
• Taherkhani, N., and S. Pierre. 2015. ‘‘Improving dynamic and distributed congestion control in vehicular ad hoc networks’’, Ad Hoc Networks, Volume 33, pp. 112-125.
• Taherkhani, N., and S. Pierre. 2016. ‘‘Prioritizing and scheduling messages for congestion control in vehicular ad hoc networks’’, Computer Networks, Volume 108, pp. 15-28.
• Tonguz, O.K., N. Wisitpongphan, and F. Bai. 2010. ‘‘DV-CAST: A distributed vehicular broadcast protocol for vehicular ad hoc networks’’, IEEE Wireless Communications, Volume 17, No 2, pp. 47-57.
• Uhlemann, E. 2015. ‘‘Introducing connected vehicles [connected vehicles]’’, IEEE Vehicular Technology Magazine, Volume 10, No 1, pp. 23-31.
• Varga, P., J. Peto, A. Franko, D. Balla, D. Haja, F. Janky, and L. Toka. 2020. ‘‘5g support for industrial iot applications–challenges, solutions, and research gaps’’, Sensors, Volume 20, No 3, pp. 828.
• Wang, P., and C.Y. Chan. 2017. ‘‘Vehicle collision prediction at intersections based on comparison of minimal distance between vehicles and dynamic thresholds’’, IET Intelligent Transport Systems, Volume 11, No 10, pp. 676-684.
• Wang, X., S. Mao, and M.X. Gong. 2017. ‘‘An overview of 3GPP cellular vehicle-to-everything standards’’, GetMobile: Mobile Computing and Communications, Volume 21, No 3, pp. 19-25.
• Waqas, M., Y. Niu, Y. Li, M. Ahmed, D. Jin, S. Chen, and Z. Han. 2019. ‘‘A comprehensive survey on mobility-aware D2D communications: Principles, practice and challenges’’, IEEE Communications Surveys & Tutorials, Volume 22, No 3, pp. 1863-1886.
• Yahaya, M., R. Guo, X. Jiang, K. Bashir, C. Matara, and S. Xu. 2020. ‘‘Ensemble-based model selection for imbalanced data to investigate the contributing factors to multiple fatality road crashes in Ghana’’, Accident Analysis & Prevention, Volume 151, pp 105851.
• Ye, J., S. Guo, and M.S. Alouini. 2020. ‘‘Joint reflecting and precoding designs for SER minimization in reconfigurable intelligent surfaces assisted MIMO systems’’, IEEE Transactions on Wireless Communications, Volume 19, No 8, pp. 5561-5574.
• Yiğitler, H., B. Badihi, and R. Jäntti. 2020. ‘‘Overview of Time Synchronization for IoT Deployments: Clock Discipline Algorithms and Protocols’’, Sensors, Volume 20, No 20, pp. 5928.
• Zaheer, T., A.W. Malik, A.U. Rahman, A. Zahir, and M.M. Fraz. 2019. ‘‘A vehicular network–based intelligent transport system for smart cities’’, International Journal of Distributed Sensor Networks, Volume 15, No 11, pp. 1550147719888845.
• Zahid, T., X. Hei, W. Cheng, A. Ahmad, and P. Maruf. 2018. ‘‘On the tradeoff between performance and programmability for software defined WiFi networks’’, Wireless Communications and Mobile Computing.
• Zang, Y., L. Stibor, X. Cheng, H.J. Reumerman, A. Paruzel, and A. Barroso. 2007. ‘‘Congestion control in wireless networks for vehicular safety applications’’, In Proceedings of the 8th European Wireless Conference, Vol. 7, p. 1.
• Zhang, N., M. Yang, Y. Jing, and S. Zhang. 2009. ‘‘Congestion control for DiffServ network using secondorder sliding mode control’’, IEEE Transactions on Industrial Electronics, Volume 56, No 9, pp. 3330-3336.