تعداد نشریات | 50 |
تعداد شمارهها | 2,232 |
تعداد مقالات | 20,476 |
تعداد مشاهده مقاله | 25,286,836 |
تعداد دریافت فایل اصل مقاله | 22,939,241 |
Traffic congestion control using Smartphone sensors based on IoT Technology | ||
Journal of Advances in Computer Engineering and Technology | ||
مقاله 6، دوره 3، شماره 4 - شماره پیاپی 12، بهمن 2017، صفحه 223-228 اصل مقاله (346.57 K) | ||
نوع مقاله: Review Paper | ||
نویسنده | ||
Hussam Elbehiery | ||
Computer Networks Department, Faculty of Computer Science and Information Technology, Ahram Canadian University, Egypt | ||
چکیده | ||
Traffic congestion in road networks is one of the main issues to be addressed, also vehicle traffic congestion and monitoring has become one of the critical issues in road transport. With the help of Intelligent Transportation System (ITS), current information of traffic can be used by control room to improve the traffic efficiency. The suggested system utilize technologies for real-time collection, organization and transmission of information to provide an efficient and accurate estimation of traffic density which can be exploited by traffic-aware applications. So, the proposed architecture of Vehicle Traffic Congestion Control & Monitoring System in IoT would perform well. A short overview of the main currently used traffic control methods for freeways will be explained. A sensor array is a group/collection of sensors, usually it is deployed in a certain geometry pattern. So, efficiency of congestion in traffic will improve. The tangible Internet of Things (IoT) based service models which are helpful to academic and industrial world to understand IoT business will be discussed. | ||
کلیدواژهها | ||
ITS؛ IoT؛ MPC؛ Smart city؛ and Smart Analytics | ||
مراجع | ||
[1] L. D. Baskar, B. De Schutter, and J. Hellendoorn. (2008). Model-based predictive traffic control for intelligent vehicles: Dynamic speed limits and dynamic lane allocation. In Proceedings of the 2008 IEEE Intelligent Vehicles Symposium (IV’08), pages 174–179, Eindhoven, The Netherlands. [2] R. Bishop. (2000). A survey of intelligent vehicle applications worldwide. In Proceedings of the IEEE Intelligent Vehicles Symposium, pages 25–30, Dearborn, Michigan. [3] M. Broucke and P. Varaiya. (1997). The automated highway system: A transportation technology for the 21st century. Control Engineering Practice, 5(11):1583–1590. [4] S. H. Chen, A. J. Jakeman, and J. P. (2008). Norton. Artificial intelligence techniques: An introduction to their use for modelling environmental systems. Mathematics and Computers in Simulation, 78(2):379–400. [5] G. Toulminet, J. Boussuge, and C. Laurgeau. (2008). Comparative synthesis of the 3 main european projects dealing with cooperative systems (CVIS, SAFESPOT and COOPERS) and description of COOPERS demonstration site 4. In Proceedings of the 11th IEEE Conference on Intelligent Transportation Systems, pages 809–814, Beijing, China. [6] B. van Arem. (2007). Cooperative vehicle-infrastructure systems: An intelligent way forward. Technical Report 2007-D-R0158/B, Verkeer en Vervoer, TNO, Delft, The Netherlands. [7] J. Weymann, J. L. Fargas, and J. J. Henry. (1995). Optimization of traffic dynamic route guidance with drivers’ reactions in a queue-based model. IEEE Transactions on Systems, Man and Cybernetics, 25(7):1161–1165. [8] K. Sharma, M. K. Ghose, D. Kumar, R. P. Kumar Singh and V. K. Pandey. (2010). A Comparative Study of Various Security Approaches Used in Wireless Sensor Networks. International Journal of Advanced Science and Technology (IJAST), vol. 17, pp. 31-44. [9] T.-H. Chen and W.-K. Shih. (2010). A Robust Mutual Authentication Protocol for Wireless Sensor Networks. ETRI Journal, vol. 32, no. 5, pp. 704-712. [10] IMO NAV 53/13. (2007). Development of an E-Navigation Strategy. Report of the Correspondence Group on e-navigation. International Maritime Organization (IMO), London, UK. [11] Gauer, A. (2015). Smart city Architecture and its applications based on IoT. Procedia computer science, Vol.52, pp.1089-1094. [12] Sun X, Lin X, Ho P-H. (2007). Secure vehicular communications based on group signature and ID-based signature scheme. Proceedings on ICC 2007, p. 1539–45. [13] K. Kim, B. D. Kim, B. Lee, and N. Park. (2012). Design and implementation of IVEF protocol using wireless communication on Android mobile platform, Communications in Computer and Information Science, vol.339, pp.94–100. [14] S. Zeadally, R. Hunt, Y.S.-Chen, A. Irwin and A. Hassun. (2010). Vehicular ad hoc networks (VANETs) status, results and challenges. Telecommunication Systems, pp 1-25. [15] Händel, P., Skog, I. (2014). Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance.” vol. 8, no. 4, pp. 1238--1248. IEEE. [16] Kanungo, A., Sharma, A., Singla, C. (2014). Smart Traffic Lights Switching and Traffic Density Calculation using Video Processing. In Proceedings of 2014 RAECS UIET Panjab University Chandigarh. IEEE. [17] Costea, I., M., Nemtanu, F., C., Dumitrescu, C., Banu, C., V., Banu, G., S. (2014). Monitoring System with Applications in Road Transport. IEEE. [18] U.S. Dept. Transp., Nat. Highway Traffic Safety Admin. (2006). Vehicle Safety Communications Project. Final Rep. [19] Che Yahaya, Norrozila Sulaiman (2009). An Investigation on a Real-Time System over WiFi in Educational Environment, Sixth IFIP International Conference on Network and Parallel Computing. [20] Andrew J. Kornecki, Thomas B. Hilburn, Wojciech Grega, Miroslav Sveda, Jean-Marc Thiriet. (2007). ILERT - International Learning Environment for Real-Time Software-Intensive Control Systems”, Proceedings of the International Multi-conference on Computer Science and Information Technology, pp. 943 – 948. [21] A. Juels, D. Molnar, and D. Wagner. (2005). Security and Privacy Issues in E-Passports. Proc. First Int’l Conf. Security and Privacy for Emerging Areas in Comm. Networks (Secure comm). [22] Xiangming Mu, Gary Marchionini, and Amy Pattee. (2002). The Interactive Shared Educational Environment: User Interface, System Architecture and Field Study, School of Information and Library Science University of North Carnolina at Chapel Hill. [23] International Data Corporation (IDC) Report of May (2017), Smartphone OS Market Share, 2017 Q1, USA. https://www.idc.com/promo/smartphone-market-share/os [24] Jack Karsten and Darrell M. West. (2017). Online traffic data tool shows public benefit of internet of things, Brookings TECHTANK, The Brookings Institution, January 19, 2017, https://www.brookings.edu/blog/techtank/2017/01/19/online-traffic-data-tool-shows-public-benefit-of-internet-of-things/ | ||
آمار تعداد مشاهده مقاله: 742 تعداد دریافت فایل اصل مقاله: 947 |