Abstract
Road hazards can cause dangerous accidents which lead to severe impacts on human safety, damage of vehicles and traffic flow deficiency. Therefore, numerous systems based on Vehicular Ad hoc Networks (VANET) have been proposed to prevent this kind of accidents and enhance road users’ safety. Nevertheless, these systems suffer from some problems, which can reduce their performance. For example, some of the proposed systems are autonomous; they do not exploit VANET to cooperate. In addition, as these systems offer more and more features, they treat a large amount of data, but without storage in a database. This can lead to the problems of congestion or loss of data. So, we propose in this paper a new system, entitled Cooperative Road Hazard Detection Persistent System (CopRoadHazDPS). This system is based on the use of (i) VANET communications to promote cooperation between vehicles, infrastructures and the Control Center, and (ii) Real-Time DataBases (RTDB) to manage data in real-time, effectively and accurately. It ensures the road safety in both cases of road hazards: obstacle detection and dangerous zone alert. Once a vehicle detects a road hazard, its Road Manager cooperates with the other components to analyze the situation and decides about the convenient actions to avoid accidents. Simulations of several driving scenarios in urban roads, within the Vehicles In Network Simulation (VEINS) framework, confirm that CopRoadHazDPS operates correctly and reduces the computing time.
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References
Association for safe international road travel. http://www.asirt.org/. Accessed 20 Sept 2018
Koesdwiady, A., Soua, R., Karray, F., Kamel, M.: Recent trends in driver safety monitoring systems: state of the art and challenges. IEEE Trans. Veh. Technol. 66, 4550–4563 (2016)
Dahiya, A., Chauhan, R.K.: A comparative study of MANET and VANET environment. J. Comput. 2, 87–92 (2010)
Taleb, A.A.: VANET routing protocols and architectures: an overview. J. Comput. Sci. 14(3), 423–434 (2018)
Meneguette, R.I., Robson, E., Loureiro, A.A.: Vehicle-to-Infrastructure communication. In: Intelligent Transport System in Smart Cities, pp. 53–77 (2018)
Pang, C., Zhong, X., Huosheng, H., Tian, J., Xiafu, P., Jianping, Z.: Adaptive obstacle detection for mobile robots in urban environments using downward-looking 2D LiDAR. Sens. J. 18(6), 1–18 (2018)
Castaño, F., Beruvides, G., Haber, R., Artuñedo, A.: Obstacle recognition based on machine learning for on-chip LiDAR sensors in a cyber-physical system. Sens. J. 17(9), 2109–2123 (2017)
Yenkanchi, S., Jonathan, Q.M.: Cooperative fusion for road obstacles detection using laser scanner and camera. In: 2016 12th World Congress on Intelligent Control and Automation, WCICA, pp. 983–986. IEEE (2016)
Gomes, P., Olaverri-Monreal, C., Michel, F.: Making vehicles transparent through V2V video streaming. IEEE Trans. Intell. Transp. Syst. 13(2), 930–938 (2012)
Toth, S., Janech, J., Krák, E.: Query based image processing in the VANET. In: 5th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN, pp. 256–260. IEEE (2013)
Mathibela, B., Posner, I., Newman, P.: A roadwork scene signature based on the opponent colour model. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. IEEE (2013)
Goh, K.N., Chen, Y.Y., Arumugam, D.: Road accident auto-dialer via pressure sensor. In: International Conference on Human-Computer Interaction. Springer, Heidelberg (2013)
Ali, H.M., Alwan, Z.S.: Car accident detection and notification system using smartphone. Int. J. Comput. Sci. Mob. Comput. 4(4), 620–635 (2017)
Valli, B.A., Jonnala, P.: Vehicle positioning system with accident detection using accelerometer sensor and Android technology. In: Technological Innovations in ICT for Agriculture and Rural Development, TIAR, pp. 73–77. IEEE (2017)
Martinez, F.J., Manzoni, P., Garrido, P., Fogue, M.: Assistance through communication technologies and vehicles. IEEE Veh. Technol. Mag. 90–100 (2012)
Praveena, V., Sankar, A.R., Jeyabalaji, S., Srivatsan, V.: Efficient accident detection and rescue system using ABEONA algorithm. Int. J. Emerg. Trends Technol. Comput. Sci. 3(5), 222–225 (2014)
Sathyasri, B., Alphons, P.P.: Accident alert message transmission using VANET. Int. J. Pure Appl. Math. 118(20), 3327–3334 (2018)
Najada, H., Mahgoub, I.: Anticipation and alert system of congestion and accidents in VANET using Big Data analysis for Intelligent Transportation Systems. In: 2016 IEEE Symposium Series on Computational Intelligence, SSCI, pp. 1–18. IEEE (2016)
El-Sersy, H., El-Sayed, A.: Survey of traffic congestion detection using VANET. Found. Comput. Sci. FCS 1(4), 14–20 (2015)
Dongre, M.M., Narendra, G.B.: Effective road model for congestion control in VANETs. Int. J. Wirel. Mob. Netw. (IJWMN) 8(2), 11–21 (2016)
HERE Hazard Warnings. https://www.here.com. Accessed 25 Sept 2018
Li, Y.J.: An overview of the DSRC/WAVE technology. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, LNICST, pp. 544–558 (2010)
Elleuch, I., Makni, A., Bouaziz, R.: Cooperative intersection collision avoidance persistent system based on V2V communication and real-time databases. In: 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, AICCSA, pp. 1082–1089 (2016)
The Tunisian Ministry of Transport: Code de la route, p. 544 (2008)
Sommer, C., German, R., Dressler, F.: Bidirectionally coupled network and road simulation for improved IVC analysis. IEEE Trans. Mob. Comput. 10(1), 3–15 (2011)
Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: SUMO – Simulation of Urban MObility. In: International Conference on Advances in System Simulation, SIMUL, pp. 55–60 (2011)
Varga, A., Hornig, R.: An overview of the OMNeT++ simulation environment. In: Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops, SIMUTOOLS, pp. 1–10 (2008)
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Elleuch, I., Makni, A., Bouaziz, R. (2020). Design of an Intelligent Cooperative Road Hazard Detection Persistent System. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_65
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DOI: https://doi.org/10.1007/978-3-030-16657-1_65
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