1. Shen L., Huang, M.: Assessing dynamic neural networks for travel time prediction. In: Applied Informatics and Communication International Conference, pp. 469–477 (2011)
2. Park, B., Malakorn, K., Lee, J.: Quantifying benefits of cooperative adaptive cruise control toward sustainable transportation system. Technical Report. May, Center for Transportation Studies, University of Virginia, Charlottesville, VA (2011)
3. Park, J., Chen, Z., Kiliaris, L., Kuang, M., Masrur, M., Phillips, A., Murphey, Y.: Intelligent vehicle power control based on machine learning of optimal control parameters and prediction of road type and traffic congestion. IEEE Trans. Veh. Technol. 58, 4741–4756 (2009)
4. Keulen, T.V., Jager, B.D., Foster, D., Steinbuch, M.: Velocity trajectory optimization in hybrid electric trucks. In: American Control Conference, pp. 5074–5079 (2010)
5. Keulen, T.V., Jager, B.D., Steinbuch, M.: Optimal trajectories for vehicles with energy recovery options. In: 18th IFAC World Congress Milano, pp. 3831–3836 (2011)