Open Access
Issue
MATEC Web Conf.
Volume 81, 2016
2016 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016)
Article Number 04012
Number of page(s) 6
Section Transportation System Modeling and Forecasting
DOI https://doi.org/10.1051/matecconf/20168104012
Published online 25 October 2016
  1. I. Stojmenovic, “Machine-to-Machine Communications With In-Network Data Aggregation, Processing, and Actuation for Large-Scale Cyber-Physical Systems”, IEEE Internet of Things Journal, 1(2), (2014) [CrossRef]
  2. B. Besselink, V. Turri, S.H. van de Hoef, K.-Y. Liang, A. Alam, J. Martensson, K.H. Johansson, “Cyber-physical Control of Road Freight Transport”, (2015)
  3. M. Aramrattana, T. Larsson, J. Jansson, C. Englund, “Dimensions of Cooperative Driving, ITS and Automation”, IEEE Intelligent Vehicles Symposium (IV), Korea, (2015)
  4. A. Ali, G. Garcia, P. Martinet, “The Flatbed Platoon Towing Model for Safe and Dense Platooning on Highways”, Intelligent Transportation Systems Magazine, IEEE, 7(1) (2015)
  5. M. El-Zaher, B. Dafflon, F. Gechter, J.-M. Contet, “Vehicle platoon control with multi-configuration ability”, Procedia Computer Science, 9, 1503 (2012) [CrossRef]
  6. Z. Gacovski, S. Deskovski, “Different Control Algorithms for a Platoon of Autonomous Vehicles”, International Journal of Robotics and Automation (IJRA), 3(3), 151 (2014)
  7. G. Tillema: “Merging into a Demo 2000 Platoon”, University of Twente, The Netherlands (2006)
  8. D. Yanakiev, I. Kanellakopoulos, “A simplified framework for string stability analysis in AHS,” Proc. 13th IFAC World Congr., 177 (1996)
  9. G. Franck, C. Vincent, C. Francois, “A reactive multi-agent system for localisation and tracking in mobile robotics,” Proc. 16th IEEE Int. Conf. Tools Artificial Intelligence, 431 (2004)
  10. F. Contet, P. Gruer, A. Koukam, “Application of reactive multiagent system to linear vehicle platoon,” Proc. IEEE Conf. Tools Artificial Intelligence, Patras, Greece, 67 (2007)
  11. E. Lee, J. Kim, W. Yoon, “Traffic speed prediction under weekday, time, and neighboring links’ speed: Back propagation neural network approach”. In-Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 626 (2007)
  12. J. Park, Y.L. Murphey, R. McGee, J.G. Kristinsson, M.L. Kuang, A.M. Phillips, “Intelligent Trip Modeling for the Prediction of an Origin–Destination Traveling Speed Profile”, IEEE Transactions on Intelligent Transportation Systems, 15 (2014) [CrossRef]
  13. I. Bosankic, L. Banjanovic-Mehmedovic, F. Mehmedovic: “Speed Profile Prediction in Intelligent Transport Systems Exemplified by Vehicle to Vehicle Interactions”, Cybernetics and Information Technologies, Special Issue on Control in Transportation Systems, 15(5), (2015)
  14. P. Wang, T. Hunter, A.M. Bayen, K. Schechtner, M.C. Gonzalez, “Understanding road usage patterns in urban areas”, Nature Scientific Reports, 2 (2012)
  15. X. Yang, M. Behroozi, O. A. Olatunbosun, “A Neural Network Approach to Predicting Car Tyre Micro-Scale and Macro-Scale Behaviour”. Journal of Intelligent Learning Systems and Applications, 6, 11 (2014) [CrossRef]
  16. V. Nikolic, S. Shamshirband, D. Petkovic, K. Mohammadi, Z. Cojbasic, T. A. Altameem, A. Gani, “Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology”, Elsevier Energy, 1 (2014)
  17. N. Lynch, R. Segala, F. Vaandrager, “Hybrid I/O automata, Information and Computation” 185, 105 (2003).