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Cooperative Adaptive Driving for Platooning Autonomous Self Driving Based on Edge Computing Cover

Cooperative Adaptive Driving for Platooning Autonomous Self Driving Based on Edge Computing

Open Access
|Jul 2019

References

  1. 3GPP (2019). Study on NR Vehicle-to-Everything (V2X), 3GPP Specification 38.885.
  2. Abuelela, M. and Olariu, S. (2010). Taking VANET to the clouds, Proceedings of the International Conference on Advances in Mobile Computing and Multimedia, Paris, France, pp. 6–13.10.1145/1971519.1971522
  3. Asadi, B. and Vahidi, A. (2011). Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time, IEEE Transactions on Control Systems Technology19(3): 707–714.10.1109/TCST.2010.2047860
  4. Brännström, M., Sandblom, F. and Hammarstrand, L. (2013). A probabilistic framework for decision-making in collision avoidance systems, IEEE Transactions on Intelligent Transportation Systems14(2): 637–648.10.1109/TITS.2012.2227474
  5. Burke, M. and Williams, J. (2012). Cooperative ITS regulatory policy issues, Discussion paper, Australia National Transport Commission, pp. 1–77.
  6. Chang, B.-J., Tsai, Y.-L. and Liang, Y.-H. (2017). Platoon-based cooperative adaptive cruise control for achieving active safe driving through mobile vehicular cloud computing, Wireless Personal Communications97(4): 5455–5481.10.1007/s11277-017-4789-8
  7. Chen, S., Hu, J., Shi, Y. and Zhao, L. (2016). LTE-V: A TD-LTE-based v2x solution for future vehicular network, IEEE Internet of Things Journal3(6): 997–1005.10.1109/JIOT.2016.2611605
  8. Desjardinsand, C. and Chaib-draa, B. (2011). Cooperative adaptive cruise control: A reinforcement learning approach, IEEE Transactions on Intelligent Transportation Systems12(4): 1248–1260.10.1109/TITS.2011.2157145
  9. Dinh, T.Q., Tang, J., La, Q.D. and Quek, T.Q.S. (2017). Offloading in mobile edge computing: Task allocation and computational frequency scaling, IEEE Transactions on Communications65(8): 3571–3584.
  10. Falcone, P., Ali, M. and Sjöberg, J. (2011). Predictive threat assessment via reachability analysis and set invariance theory, IEEE Transactions on Intelligent Transportation Systems12(4): 1352–1361.10.1109/TITS.2011.2158210
  11. Geroliminis, N. and Skabardonis, A. (2011). Identification and analysis of queue spillovers in city street networks, IEEE Transactions on Intelligent Transportation Systems12(3): 1107–1115.10.1109/TITS.2011.2141991
  12. Gomes, A.S., Sousa, B., Palm, D.V., Fonseca, A., Zhao, Z., Monteiro, E., Braun, T., Simoes, P. and Cordeiro, L. (2017). Edge caching with mobility prediction in virtualized LTE mobile networks, Future Generation Computer Systems70(1): 148–162.10.1016/j.future.2016.06.022
  13. Helbing, D. (2001). Traffic and related self-driven many-particle systems, Reviews of Modern Physics73(4): 1067–1141.10.1103/RevModPhys.73.1067
  14. Huang, C.-L., Fallah, Y., Sengupta, R. and Krishnan, H. (2010). Adaptive intervehicle communication control for cooperative safety systems, IEEE Network24(1): 6–13.10.1109/MNET.2010.5395777
  15. Hwang, R.-H., Chang, B.-J., Tsai, Y.-L. and Liang, Y.-H. (2017). Mobile edge computing-based vehicular cloud of cooperative adaptive driving for platooning autonomous self driving, Proceedings of IEEE SC2 2017, Kanazawa, Japan, pp. 33–39.10.1109/SC2.2017.13
  16. IEEE (2005). Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment: Medium access control (MAC) quality of service enhancements, Technical report, IEEE Std. 802.11e, IEEE, Piscataway, NJ.
  17. IEEE (2011). IEEE standard for information technology-telecommunication and information exchange between systems-local and metropolitan area networks-specific requirements, Technical report, IEEE Std. 802.11p, IEEE, Piscataway, NJ.
  18. IEEE (2013). IEEE trial-use standard for wireless access in vehicular environments (wave)—multi-channel operation, Technical report, IEEE Std. P1609.4, IEEE, Piscataway, NJ.
  19. ITS (2018). Intelligent transportation systems (ITS), US Department of Transportation, Washington, DC, http://www.its.dot.gov/.
  20. Jansson, J. and Gustafsson, F. (2008). A framework and automotive application of collision avoidance decision making, Automatica44(9): 2347–2351.10.1016/j.automatica.2008.01.016
  21. Kuhne, R. and Michalopoulos, P. (1997). Continuum flow models, in N.H. Gartner et al. (Eds.), Traffic Flow Theory: A State of the Art Report—Revised Monograph on Traffic Flow Theory, Oak Ridge National Laboratory, Oak Ridge, TN.
  22. Lorenz, E. (1963). Deterministic nonperiodic flow, Journal of the Atmospheric Sciences20(2): 130–141.10.1175/1520-0469(1963)020<;0130:DNF>2.0.CO;2
  23. Maag, C., Mühlbacher, D., Mark, C. and Krüger, H.-P. (2012). Studying effects of advanced driver assistance systems (ADAS) on individual and group level using multi-driver simulation, IEEE Intelligent Transportation Systems Magazine4(3): 45–54.10.1109/MITS.2012.2203231
  24. MicroSim (2018). Microsimulation of road traffic flow, http://www.traffic-simulation.de/.
  25. Milanés, V., Alonso, J., Bouraouiand, L. and Ploeg, J. (2011a). Cooperative maneuvering in close environments among cybercars and dual-mode cars, IEEE Transactions on Intelligent Transportation Systems12(1): 15–24.10.1109/TITS.2010.2050060
  26. Milanés, V., Godoy, J., Villagra, J. and Perez, J. (2011b). Automated on-ramp merging system for congested traffic situations, IEEE Transactions on Intelligent Transportation Systems12(2): 500–508.10.1109/TITS.2010.2096812
  27. Mitropoulos, G.K., Karanasiou, I.S., Hinsberger, A., Aguado-Agelet, F., Wieker, H., Hilt, H.-J., Mammarand, S. and Noecker, G. (2010). Wireless local danger warning: Cooperative foresighted driving using intervehicle communication, IEEE Transactions on Intelligent Transportation Systems11(3): 539–553.10.1109/TITS.2009.2034839
  28. MOTC (2018). Ministry of Transportation and Communications (MOTC), Taipei, http://www.iot.gov.tw/.
  29. Mousannif, H., Khalil, I. and Moatassime, H.A. (2011). Cooperation as a service in VANETs, Journal of Universal Computer Science17(8): 1202–1208.
  30. Özturk, S. and Mišić, J. (2011). On non-saturation regime in IEEE 802.11p based VANET with mobile nodes, Proceedings of IEEE PIMRC, Toronto, Canada, pp. 740–744.10.1109/PIMRC.2011.6140064
  31. Papadimitratos, P., La Fortelle, A., Evenssen, K., Brignolo, R. and Cosenza, S. (2009). Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation, IEEE Communications Magazine47(11): 84–95.10.1109/MCOM.2009.5307471
  32. Pauwelussen, J. and Feenstra, P.J. (2010). Driver behavior analysis during ACC activation and deactivation in a real traffic environment, IEEE Transactions on Intelligent Transportation Systems11(2): 329–338.10.1109/TITS.2010.2043099
  33. Satria, D., Park, D. and Jo, M. (2017). Recovery for overloaded mobile edge computing, Future Generation Computer Systems70(1): 138–147.10.1016/j.future.2016.06.024
  34. Schakel, W., Arem, B. and Netten, B. (2010). Effects of cooperative adaptive cruise control on traffic flow stability, Proceedings of IEEE Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, pp. 759–764.10.1109/ITSC.2010.5625133
  35. Somda, F. and Cormerais, H. (2011). Auto-adaptive and string stable strategy for intelligent cruise control, IET Intelligent Transport Systems5(3): 168–174.10.1049/iet-its.2010.0016
  36. Stevenson, R. (2011). A drivers sixth sense, IEEE Spectrum48(10): 50–55.10.1109/MSPEC.2011.6027249
  37. Tacq, J. (2010). The normal distribution and its applications, in E. Baker et al. (Eds.), International Encyclopedia of Education, 3rd Edition, Elsevier Science, Amsterdam.10.1016/B978-0-08-044894-7.01563-3
  38. Taleb, T., Benslimane, A. and Letaief, K. (2010). Toward an effective risk-conscious and collaborative vehicular collision avoidance system, IEEE Transactions on Vehicular Technology59(3): 1474–1486.10.1109/TVT.2010.2040639
  39. Thompson, W.J. (2001). Poisson distributions, Computing in Science and Engineering3(3): 78–82.10.1109/5992.919271
  40. Treiber, M., Hennecke, A. and Helbing, D. (2000). Congested traffic states in empirical observations and microscopic simulations, Physical Review E6210(1103): 1805–1824.10.1103/PhysRevE.62.180511088643
  41. Wilmink, I.R., Klunder, G.A. and Arem, B. (2007). Traffic flow effects of integrated full-range velocity assistance (IRSA), Proceedings of IEEE Intelligent Vehicles Symposium, IVS 2007, Istanbul, Turkey, pp. 1204–1210.10.1109/IVS.2007.4290282
DOI: https://doi.org/10.2478/amcs-2019-0016 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 213 - 225
Submitted on: Jul 31, 2018
Accepted on: Feb 1, 2019
Published on: Jul 4, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Ben-Jye Chang, Ren-Hung Hwang, Yueh-Lin Tsai, Bo-Han Yu, Ying-Hsin Liang, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.