New Solutions Based On Wireless Networks For Dynamic Traffic Lights Management: A Comparison Between IEEE 802.15.4 And Bluetooth

1. Sánchez, N.; Alfonso, J.; Torres, J.; Menéndez, J.M. (2013) ITS-based cooperative services development framework for improving safety of vulnerable road users. Intelligent Transport Systems, IET, vol.7, no.2, pp. 236-243.10.1049/iet-its.2012.0154Search in Google Scholar

2. Kothuri, S.M.; Tufte, K.; Soyoung Ahn; Bertini, R.L. (2006) Development of an ITS data archive application for improving freeway travel time estimation. IEEE Conference on Intelligent Transportation Systems (ITSC '06), pp.1263-1268.10.1109/ITSC.2006.1707396Search in Google Scholar

3. Rommerskirchen, C.; Helmbrecht, M.; Bengler, K. (2013) Increasing complexity of driving situations and its impact on an ADAS for anticipatory assistance for the reduction of fuel consumption. IEEE Intelligent Vehicles Symposium (IV), pp.573-578.10.1109/IVS.2013.6629528Search in Google Scholar

4. Fei-Yue Wang (2010) Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications. IEEE Transactions on Intelligent Transportation Systems, vol.11, no.3, pp.630-638.10.1109/TITS.2010.2060218Search in Google Scholar

5. Skordylis, A; Trigoni, N. (2011) Efficient Data Propagation in Traffic-Monitoring Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, vol.12, no.3, pp.680-694.10.1109/TITS.2011.2159857Search in Google Scholar

6. Eng-Han Ng; Su-Lim Tan; Guzman, J.G. (2008) Road traffic monitoring using a wireless vehicle sensor network. International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2008), pp.1-4.Search in Google Scholar

7. Gallart, V.; Felici-Castell, S.; Delamo, M.; Foster, Andrew; Perez, J.J. (2011) Evaluation of a Real, Low Cost, Urban WSN Deployment for Accurate Environmental Monitoring. IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS), pp.634-639.10.1109/MASS.2011.66Search in Google Scholar

8. Bee-Lie Chai; Ki-One Yi; Hyotaek Lim; Gwang-Hoon Kwark (2010) The implementation and performance evaluation of link power control in wireless sensor network. 2nd International Conference on Computer Engineering and Technology (ICCET), vol.6, pp.V6-245, V6-248.10.1109/ICCET.2010.5486280Search in Google Scholar

9. Philipp, F.; Ping Zhao; Samman, F.A; Glesner, M.; Dassanayake, K.B.; Maheswararajah, S.; Halgamuge, S. (2012) Adaptive wireless sensor networks powered by hybrid energy harvesting for environmental monitoring. IEEE 6th International Conference on Information and Automation for Sustainability (ICIAfS), pp.285-289.10.1109/ICIAFS.2012.6419918Search in Google Scholar

10. Pileggi, S.F.; Palau, C.E.; Esteve, M. (2010) Multimode WSN: Improving Robustness, Fault Tolerance and Performance of Randomly Deployed Wireless Sensor Network. Second International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), pp.112-117.10.1109/CICSyN.2010.12Search in Google Scholar

11. Alazzawi, L.K.; Elkateeb, AM.; Ramesh, A (2008) Scalability Analysis for Wireless Sensor Networks Routing Protocols. 22nd International Conference on Advanced Information Networking and Applications – Workshops (AINAW), pp.139-144.10.1109/WAINA.2008.178Search in Google Scholar

12. Collotta, M.; Lo Bello, L.; Pau, G. (2015) A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers, Expert Systems with Applications, Vol. 42, Issue 13, pp. 5403-5415.Search in Google Scholar

13. Huck, R.C.; Havlicek, J.P.; Sluss, J.J.; Stevenson, AR. (2005) A low-cost distributed control architecture for intelligent transportation systems deployment in the State of Oklahoma. IEEE Proceedings Intelligent Transportation Systems, pp.919-924.10.1109/ITSC.2005.1520173Search in Google Scholar

14. 802.15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR- WPANs) – June 2006 IEEE standard for information technology. Part 15.4.Search in Google Scholar

15. Bluetooth Specification Version 4.0; Bluetooh SIG 2010.Search in Google Scholar

16. Mandal, K.; Sen, A; Chakraborty, A; Roy, S.; Batabyal, S.; Bandyopadhyay, S. (2011) Road traffic congestion monitoring and measurement using active RFID and GSM technology, 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.1375-1379.Search in Google Scholar

17. Zotos, N.; Stergiopoulos, C.; Anastasopoulos, K.; Bogdos, G.; Pallis, E.; Skianis, C. (2012) Case study of a dimmable outdoor lighting system with intelligent management and remote control, International Conference on Telecommunications and Multimedia (TEMU), pp.43-48.Search in Google Scholar

18. Megalingam, Rajesh Kannan; Mohan, V.; Mohanan, A; Leons, P.; Shooja, R. (2010) Wireless Sensor Network for Vehicle Speed Monitoring and Traffic Routing System, 2nd International Conference on Mechanical and Electrical Technology (ICMET), pp.631-635.Search in Google Scholar

19. Brahmi, H.I; Djahel, S.; Murphy, J. (2013) Improving emergency messages transmission delay in road monitoring based WSNs, 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), pp.1-8.10.1109/WMNC.2013.6548985Search in Google Scholar

20. Collotta, M.; Pau, G.; Salerno, V.M.; Scatà, G. (2012) A Novel Road Monitoring Approach Using Wireless Sensor Networks, Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp.376-381.Search in Google Scholar

21. Collotta, M.; Messineo, A.; Nicolosi, G.; Pau, G. (2014) A self-powered Bluetooth Network for Intelligent Traffic light Junction Management, WSEAS Transactions on Information Science and Applications, Vol. 11, pp. 12-23.Search in Google Scholar

22. Tsubota, T.; Bhaskar, A.; Chung, E.; Billot, R. (2011) Arterial traffic congestion analysis using Bluetooth Duration data, Australasian Transport Research Forum Proceedings, pp. 1-14.Search in Google Scholar

23. Jie, L.; van Zuylen, H.; Chunhua, L.; Shoufeng, L. (2011) Monitoring travel times in an urban network using video, GPS and Bluetooth, Procedia of Social and Behavioral Sciences, pp. 630-637.Search in Google Scholar

24. Araghi, B.N.; Christensen, L.T.; Lahrmann, H. (2013) Accurate Travel Time Estimation and Incident Detection Using Bluetooth and WiFi Technologies, Best Practices on Development of Monitoring Technologies and Services, VTT Technical Research Centre of Finland.Search in Google Scholar

25. Bachmann, C.; Roorda, M.J.; Abdulhai, B.; Moshiri, B. (2013) Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation, Intelligent Transportation Systems, Vol. 17, no. 2, pp. 153-164.Search in Google Scholar

26. Collotta, M.; Pau, G.; Scatà, G. (2013) Deadline-aware scheduling perspectives in industrial wireless networks: A comparison between IEEE 802.15.4 and Bluetooth, International Journal of Distributed Sensor Networks, 2013, art. no. 602923.10.1155/2013/602923Search in Google Scholar

27. Collotta, M.; Lo Bello, L.; Mirabella, O. (2007) Deadline-Aware Scheduling Policies for Bluetooth Networks in Industrial Communications, International Symposium on Industrial Embedded Systems (SIES), pp.156,163.Search in Google Scholar

28. Collotta, M.; Lo Bello, L.; Mirabella, O. (2010) An innovative frequency hopping management mechanism for Bluetooth-based industrial networks, International Symposium on Industrial Embedded Systems (SIES), pp.45,50.Search in Google Scholar

29. Horn, W. (1974) Some Simple Scheduling Algorithms, Naval Research Logistics Quaterly, 21.10.1002/nav.3800210113Search in Google Scholar

30. OMNeT++: Discrete Event Simulator (2014), version 4.6, http://www.omnetpp.org/.Search in Google Scholar

31. Network Simulator: NS-2 (2013), version 2.35, http://www.cs.uc.edu/~cdmc/ucbt/.Search in Google Scholar